diff --git a/README.md b/README.md
index 9c99ba2..29d3953 100644
--- a/README.md
+++ b/README.md
@@ -15,75 +15,75 @@
本资源清单包含820个python机器学习相关的开源工具资源，这些热门工具总共分成32个不同的子板块，这些项目目前在github上已经收到3.5M个点赞。所有的工具资源每周会自动从GitHub和工具维护平台采集信息，并更新排行展示。本清单参考[best-of模板](https://github.com/best-of-lists/best-of)完成，内容参考了[awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)，欢迎大家提PR丰富本清单。
-## Contents
-
-- [Machine Learning Frameworks](#machine-learning-frameworks) _54 projects_
-- [Data Visualization](#data-visualization) _49 projects_
-- [Text Data & NLP](#text-data--nlp) _82 projects_
-- [Image Data](#image-data) _49 projects_
-- [Graph Data](#graph-data) _29 projects_
-- [Audio Data](#audio-data) _23 projects_
-- [Geospatial Data](#geospatial-data) _22 projects_
-- [Financial Data](#financial-data) _23 projects_
-- [Time Series Data](#time-series-data) _20 projects_
-- [Medical Data](#medical-data) _19 projects_
-- [Optical Character Recognition](#optical-character-recognition) _11 projects_
-- [Data Containers & Structures](#data-containers--structures) _28 projects_
-- [Data Loading & Extraction](#data-loading--extraction) _23 projects_
-- [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_
-- [Data Pipelines & Streaming](#data-pipelines--streaming) _36 projects_
-- [Distributed Machine Learning](#distributed-machine-learning) _26 projects_
-- [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _45 projects_
-- [Reinforcement Learning](#reinforcement-learning) _19 projects_
-- [Recommender Systems](#recommender-systems) _13 projects_
-- [Privacy Machine Learning](#privacy-machine-learning) _6 projects_
-- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _35 projects_
-- [Model Serialization & Conversion](#model-serialization--conversion) _11 projects_
-- [Model Interpretability](#model-interpretability) _46 projects_
-- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _12 projects_
-- [Probabilistics & Statistics](#probabilistics--statistics) _21 projects_
-- [Adversarial Robustness](#adversarial-robustness) _7 projects_
-- [GPU Utilities](#gpu-utilities) _18 projects_
-- [Tensorflow Utilities](#tensorflow-utilities) _13 projects_
-- [Sklearn Utilities](#sklearn-utilities) _17 projects_
-- [Pytorch Utilities](#pytorch-utilities) _27 projects_
-- [Database Clients](#database-clients) _1 projects_
-- [Chinese NLP](#chinese-nlp) _2 projects_
-- [Others](#others) _33 projects_
-
-## Explanation
-- 🥇🥈🥉 Combined project-quality score
-- ⭐️ Star count from GitHub
-- 🐣 New project _(less than 6 months old)_
-- 💤 Inactive project _(6 months no activity)_
-- 💀 Dead project _(12 months no activity)_
-- 📈📉 Project is trending up or down
-- ➕ Project was recently added
-- ❗️ Warning _(e.g. missing/risky license)_
-- 👨💻 Contributors count from GitHub
-- 🔀 Fork count from GitHub
-- 📋 Issue count from GitHub
-- ⏱️ Last update timestamp on package manager
-- 📥 Download count from package manager
-- 📦 Number of dependent projects
-- 
Tensorflow related project
-- 
Sklearn related project
-- 
PyTorch related project
-- 
MxNet related project
-- 
Apache Spark related project
-- 
Jupyter related project
-- 
PaddlePaddle related project
-- 
Pandas related project
+## 目录
+
+- [机器学习框架](#机器学习框架) _54 个项目_
+- [数据可视化](#数据可视化) _49 个项目_
+- [文本数据和NLP](#文本数据和NLP) _82 个项目_
+- [图像数据与CV](#图像数据与CV) _49 个项目_
+- [图数据处理](#图数据处理) _29 个项目_
+- [音频处理](#音频处理) _23 个项目_
+- [地理Geo处理](#地理Geo处理) _22 个项目_
+- [金融数据处理](#金融数据处理) _23 个项目_
+- [时间序列](#时间序列) _20 个项目_
+- [医疗领域](#医疗领域) _19 个项目_
+- [光学字符识别OCR](#光学字符识别OCR) _11 个项目_
+- [数据容器和结构](#数据容器和结构) _28 个项目_
+- [数据读写与提取](#数据读写与提取) _23 个项目_
+- [网页抓取和爬虫](#网页抓取和爬虫) _1 个项目_
+- [数据管道和流处理](#数据管道和流处理) _36 个项目_
+- [分布式机器学习](#分布式机器学习) _26 个项目_
+- [超参数优化和AutoML](#超参数优化和AutoML) _45 个项目_
+- [强化学习](#强化学习) _19 个项目_
+- [推荐系统](#推荐系统) _13 个项目_
+- [隐私机器学习](#隐私机器学习) _6 个项目_
+- [工作流程和实验跟踪](#工作流程和实验跟踪) _35 个项目_
+- [模型序列化和转换](#模型序列化和转换) _11 个项目_
+- [模型的可解释性](#模型的可解释性) _46 个项目_
+- [向量相似度搜索（ANN）](#向量相似度搜索（ANN）) _12 个项目_
+- [概率统计](#概率统计) _21 个项目_
+- [对抗学习与鲁棒性](#对抗学习与鲁棒性) _7 个项目_
+- [GPU实用程序](#GPU实用程序) _18 个项目_
+- [Tensorflow实用程序](#Tensorflow实用程序) _13 个项目_
+- [Sklearn实用程序](#Sklearn实用程序) _17 个项目_
+- [Pytorch实用程序](#Pytorch实用程序) _27 个项目_
+- [数据库客户端](#数据库客户端) _1 个项目_
+- [中文自然语言处理](#中文自然语言处理) _2 个项目_
+- [Others](#Others) _33 个项目_
+
+## 图标解释
+- 🥇🥈🥉 综合项目质量分
+- ⭐️ github上star的数量
+- 🐣 小于6个月的新项目
+- 💤 非活跃项目(6个月未更新)
+- 💀 沉寂项目(12个月未更新)
+- 📈📉 项目趋势(向上or向下)
+- ➕ 最近添加的项目
+- ❗️ 警告(例如 项目没有license)
+- 👨💻 项目的开发贡献者数量
+- 🔀 项目被fork的数量
+- 📋 项目issue的数量
+- ⏱️ 项目包上次更新时间
+- 📥 工具库被下载次数
+- 📦 项目依赖的工具库数量
+- Tensorflow相关项目
+- Sklearn相关项目
+- pytorch相关项目
+- MxNet相关项目
+- Apache Spark相关项目
+- Jupyter相关项目
+- PaddlePaddle相关项目
+- Pandas相关项目
-## Machine Learning Frameworks
+## 机器学习框架
-
+
-_General-purpose machine learning and deep learning frameworks._
+_通用机器学习和深度学习框架。_
-Tensorflow (🥇44 · ⭐ 170K) - An Open Source Machine Learning Framework for Everyone. Apache-2
+Tensorflow (🥇44 · ⭐ 170K) - 适用于所有人的开源机器学习框架。Apache-2
- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 4.1K · 🔀 70K · 📦 210K · 📋 35K - 5% open · ⏱️ 26.08.2022):
@@ -103,7 +103,7 @@ _General-purpose machine learning and deep learning frameworks._
docker pull tensorflow/tensorflow
```
scikit-learn (🥇39 · ⭐ 51K) - scikit-learn: machine learning in Python. BSD-3
+scikit-learn (🥇39 · ⭐ 51K) - scikit-learn：基于Python的机器学习工具库。BSD-3
- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 2.7K · 🔀 23K · 📥 810 · 📦 390K · 📋 9.6K - 16% open · ⏱️ 26.08.2022):
@@ -119,7 +119,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge scikit-learn
```
XGBoost (🥇37 · ⭐ 23K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
+XGBoost (🥇37 · ⭐ 23K) - 可扩展，高效和分布式梯度增强（GBDT，GBRT等）的boosting工具库。Apache-2
- [GitHub](https://github.com/dmlc/xgboost) (👨💻 570 · 🔀 7.9K · 📥 5K · 📦 35K · 📋 4.5K - 5% open · ⏱️ 25.08.2022):
@@ -135,7 +135,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge xgboost
```
LightGBM (🥇35 · ⭐ 14K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+LightGBM (🥇35 · ⭐ 14K) - 快速，分布式，高性能梯度提升（GBT，GBDT，GBRT等）的boosting工具库。MIT
- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 270 · 🔀 3.5K · 📥 160K · 📦 15K · 📋 2.8K - 7% open · ⏱️ 25.08.2022):
@@ -151,7 +151,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge lightgbm
```
Fastai (🥇34 · ⭐ 23K) - The fastai deep learning library. Apache-2
+Fastai (🥇34 · ⭐ 23K) - Fastai深度学习库。Apache-2
- [GitHub](https://github.com/fastai/fastai) (👨💻 210 · 🔀 7.1K · 📦 11K · 📋 1.7K - 6% open · ⏱️ 19.08.2022):
@@ -163,7 +163,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install fastai
```
Thinc (🥇34 · ⭐ 2.6K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
+Thinc (🥇34 · ⭐ 2.6K) - 深度学习工具库。MIT
- [GitHub](https://github.com/explosion/thinc) (👨💻 53 · 🔀 240 · 📦 23K · 📋 120 - 11% open · ⏱️ 05.08.2022):
@@ -179,7 +179,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge thinc
```
PyTorch (🥈33 · ⭐ 58K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
+PyTorch (🥈33 · ⭐ 58K) - 具有强大GPU的Python中的张量和动态神经网络构建工具库。BSD-3
- [GitHub](https://github.com/pytorch/pytorch) (👨💻 3.5K · 🔀 16K · 📥 5.6K · 📋 28K - 32% open · ⏱️ 26.08.2022):
@@ -195,7 +195,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c pytorch pytorch
```
dlib (🥈33 · ⭐ 11K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
+dlib (🥈33 · ⭐ 11K) - 进行现实世界机器学习和数据分析的工具包。❗️BSL-1.0
- [GitHub](https://github.com/davisking/dlib) (👨💻 180 · 🔀 2.7K · 📥 25K · 📦 16K · 📋 2.1K - 1% open · ⏱️ 26.08.2022):
@@ -211,7 +211,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge dlib
```
Keras (🥈32 · ⭐ 56K) - Deep Learning for humans. Apache-2
+Keras (🥈32 · ⭐ 56K) - 易上手的深度学习工具库。Apache-2
- [GitHub](https://github.com/keras-team/keras) (👨💻 1.1K · 🔀 18K · 📋 11K - 2% open · ⏱️ 26.08.2022):
@@ -227,7 +227,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge keras
```
PySpark (🥈32 · ⭐ 34K) - Apache Spark Python API. Apache-2
+PySpark (🥈32 · ⭐ 34K) - Apache Spark Python API。Apache-2
- [GitHub](https://github.com/apache/spark) (👨💻 2.7K · 🔀 25K · ⏱️ 26.08.2022):
@@ -243,7 +243,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge pyspark
```
PaddlePaddle (🥈32 · ⭐ 19K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
+PaddlePaddle (🥈32 · ⭐ 19K) - paddlepaddle机器学习与深度学习工具库。Apache-2
- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 810 · 🔀 4.5K · 📥 15K · 📦 140 · 📋 15K - 14% open · ⏱️ 26.08.2022):
@@ -255,7 +255,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install paddlepaddle
```
Jina (🥈32 · ⭐ 16K) - An easier way to build neural search on the cloud. Apache-2
+Jina (🥈32 · ⭐ 16K) - 在云端构建神经搜索的简便方法库。Apache-2
- [GitHub](https://github.com/jina-ai/jina) (👨💻 150 · 🔀 1.9K · 📦 350 · 📋 1.6K - 1% open · ⏱️ 25.08.2022):
@@ -271,7 +271,7 @@ _General-purpose machine learning and deep learning frameworks._
docker pull jinaai/jina
```
StatsModels (🥈32 · ⭐ 7.7K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+StatsModels (🥈32 · ⭐ 7.7K) - Statsmodels：Python中的统计建模和计量经济学工具库。BSD-3
- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 380 · 🔀 2.4K · 📥 26 · 📦 68K · 📋 4.8K - 46% open · ⏱️ 23.08.2022):
@@ -287,7 +287,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge statsmodels
```
jax (🥈31 · ⭐ 20K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+jax (🥈31 · ⭐ 20K) - Python + NumPy程序工具库。Apache-2
- [GitHub](https://github.com/google/jax) (👨💻 440 · 🔀 1.8K · 📦 5.3K · 📋 3.4K - 24% open · ⏱️ 26.08.2022):
@@ -303,7 +303,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge jaxlib
```
Chainer (🥈31 · ⭐ 5.7K) - A flexible framework of neural networks for deep learning. MIT
+Chainer (🥈31 · ⭐ 5.7K) - 灵活的深度学习神经网络框架。MIT
- [GitHub](https://github.com/chainer/chainer) (👨💻 320 · 🔀 1.3K · 📦 2.7K · 📋 2K - 0% open · ⏱️ 29.06.2022):
@@ -315,7 +315,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install chainer
```
Theano (🥈30 · ⭐ 9.6K · 💤) - Theano is a Python library that allows you to define,.. ❗Unlicensed
+Theano (🥈30 · ⭐ 9.6K · 💤) - Theano是一个Python神经网络工具库。❗Unlicensed
- [GitHub](https://github.com/Theano/Theano) (👨💻 380 · 🔀 2.4K · 📦 13K · 📋 2.7K - 21% open · ⏱️ 23.11.2021):
@@ -331,7 +331,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge theano
```
einops (🥈30 · ⭐ 5.5K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
+einops (🥈30 · ⭐ 5.5K) - 重塑了深度学习操作（用于pytorch，tensorflow，jax等）的工具库。MIT
- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 20 · 🔀 240 · 📦 3.9K · 📋 120 - 28% open · ⏱️ 24.08.2022):
@@ -347,7 +347,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge einops
```
MXNet (🥈29 · ⭐ 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2
+MXNet (🥈29 · ⭐ 20K) - 轻巧，灵活的分布式/移动深度学习工具库。Apache-2
- [GitHub](https://github.com/apache/incubator-mxnet) (👨💻 980 · 🔀 6.5K · 📥 25K · 📋 9.5K - 18% open · ⏱️ 23.08.2022):
@@ -363,7 +363,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c anaconda mxnet
```
pytorch-lightning (🥈29 · ⭐ 20K · 📉) - The lightweight PyTorch wrapper for high-performance.. Apache-2
+pytorch-lightning (🥈29 · ⭐ 20K · 📉) - 轻巧而具备高性能的PyTorch上层封装工具库。Apache-2
- [GitHub](https://github.com/Lightning-AI/lightning) (👨💻 740 · 🔀 2.5K · 📥 8K · 📋 5.3K - 8% open · ⏱️ 25.08.2022):
@@ -379,7 +379,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge pytorch-lightning
```
Vowpal Wabbit (🥈28 · ⭐ 8K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+Vowpal Wabbit (🥈28 · ⭐ 8K) - Vowpal Wabbit是一个推动机器学习的机器学习系统。BSD-3
- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨💻 320 · 🔀 1.7K · 📋 1.2K - 10% open · ⏱️ 25.08.2022):
@@ -391,7 +391,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install vowpalwabbit
```
Catboost (🥈28 · ⭐ 6.7K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+Catboost (🥈28 · ⭐ 6.7K) - 快速，可扩展，高性能的梯度决策提升工具库。Apache-2
- [GitHub](https://github.com/catboost/catboost) (👨💻 1K · 🔀 990 · 📥 86K · 📋 1.9K - 21% open · ⏱️ 21.08.2022):
@@ -407,7 +407,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge catboost
```
Flax (🥈28 · ⭐ 3.5K) - Flax is a neural network library for JAX that is designed for.. Apache-2 jax
+Flax (🥈28 · ⭐ 3.5K) - Flax是专为.NET设计的用于JAX的神经网络库。Apache-2 jax
- [GitHub](https://github.com/google/flax) (👨💻 170 · 🔀 380 · 📥 42 · 📦 1.3K · 📋 550 - 17% open · ⏱️ 25.08.2022):
@@ -419,7 +419,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install flax
```
dyNET (🥈28 · ⭐ 3.3K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
+dyNET (🥈28 · ⭐ 3.3K) - DyNet：动态神经网络工具包。Apache-2
- [GitHub](https://github.com/clab/dynet) (👨💻 160 · 🔀 670 · 📥 6.9K · 📦 220 · 📋 920 - 27% open · ⏱️ 14.08.2022):
@@ -431,7 +431,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install dyNET
```
PyFlink (🥉27 · ⭐ 20K) - Apache Flink Python API. Apache-2
+PyFlink (🥉27 · ⭐ 20K) - Apache Flink Python API。Apache-2
- [GitHub](https://github.com/apache/flink) (👨💻 1.6K · 🔀 11K · ⏱️ 26.08.2022):
@@ -443,7 +443,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install apache-flink
```
TFlearn (🥉27 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for.. ❗Unlicensed
+TFlearn (🥉27 · ⭐ 9.6K · 💀) - 深度学习库，基于TensorFlow构建上层简单易用的API。❗Unlicensed
- [GitHub](https://github.com/tflearn/tflearn) (👨💻 130 · 🔀 2.3K · 📦 4.1K · 📋 910 - 60% open · ⏱️ 30.11.2020):
@@ -455,7 +455,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install tflearn
```
Sonnet (🥉27 · ⭐ 9.4K) - TensorFlow-based neural network library. Apache-2
+Sonnet (🥉27 · ⭐ 9.4K) - 基于TensorFlow的神经网络库。Apache-2
- [GitHub](https://github.com/deepmind/sonnet) (👨💻 54 · 🔀 1.2K · 📦 900 · 📋 180 - 14% open · ⏱️ 23.08.2022):
@@ -471,7 +471,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge sonnet
```
Ludwig (🥉27 · ⭐ 8.5K) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2
+Ludwig (🥉27 · ⭐ 8.5K) - 路德维希（Ludwig）是一个工具箱，可用于深度学习训练和评估。Apache-2
- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 130 · 🔀 960 · 📦 130 · 📋 820 - 23% open · ⏱️ 25.08.2022):
@@ -483,7 +483,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install ludwig
```
tensorpack (🥉27 · ⭐ 6.2K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
+tensorpack (🥉27 · ⭐ 6.2K) - TensorFlow上的神经网络训练接口。Apache-2
- [GitHub](https://github.com/tensorpack/tensorpack) (👨💻 58 · 🔀 1.8K · 📥 140 · 📦 1.1K · 📋 1.3K - 0% open · ⏱️ 04.05.2022):
@@ -495,7 +495,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install tensorpack
```
skorch (🥉26 · ⭐ 4.6K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+skorch (🥉26 · ⭐ 4.6K) - 封装成scikit-learn接口模式的神经网络库。BSD-3
- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 50 · 🔀 310 · 📦 550 · 📋 440 - 9% open · ⏱️ 22.08.2022):
@@ -511,7 +511,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge skorch
```
Ignite (🥉26 · ⭐ 4K) - High-level library to help with training and evaluating neural.. BSD-3
+Ignite (🥉26 · ⭐ 4K) - 用于训练和评估神经等一系列操作的高级深度学习工具库。BSD-3
- [GitHub](https://github.com/pytorch/ignite) (👨💻 180 · 🔀 540 · 📋 1.1K - 10% open · ⏱️ 25.08.2022):
@@ -527,7 +527,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c pytorch ignite
```
ktrain (🥉26 · ⭐ 1K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+ktrain (🥉26 · ⭐ 1K) - ktrain是一个Python库，可以使深度学习和AI更简单。Apache-2
- [GitHub](https://github.com/amaiya/ktrain) (👨💻 15 · 🔀 240 · 📦 330 · 📋 420 - 0% open · ⏱️ 04.08.2022):
@@ -539,7 +539,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install ktrain
```
Turi Create (🥉25 · ⭐ 11K · 💤) - Turi Create simplifies the development of custom machine.. BSD-3
+Turi Create (🥉25 · ⭐ 11K · 💤) - Turi Create简化了自定义机器学习的开发。BSD-3
- [GitHub](https://github.com/apple/turicreate) (👨💻 85 · 🔀 1.1K · 📥 6.8K · 📦 320 · 📋 1.8K - 27% open · ⏱️ 29.11.2021):
@@ -551,7 +551,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install turicreate
```
xLearn (🥉25 · ⭐ 3K) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
+xLearn (🥉25 · ⭐ 3K) - 高性能，易于使用且可扩展的机器学习（ML）工具库。Apache-2
- [GitHub](https://github.com/aksnzhy/xlearn) (👨💻 30 · 🔀 510 · 📥 3.4K · 📦 93 · 📋 300 - 61% open · ⏱️ 05.06.2022):
@@ -563,7 +563,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install xlearn
```
NuPIC (🥉24 · ⭐ 6.3K · 💀) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0
+NuPIC (🥉24 · ⭐ 6.3K · 💀) - Numenta智能计算平台。❗️AGPL-3.0
- [GitHub](https://github.com/numenta/nupic) (👨💻 120 · 🔀 1.6K · 📦 110 · 📋 1.8K - 25% open · ⏱️ 23.10.2019):
@@ -575,7 +575,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install nupic
```
fklearn (🥉24 · ⭐ 1.4K) - fklearn: Functional Machine Learning. Apache-2
+fklearn (🥉24 · ⭐ 1.4K) - fklearn：机器学习工具库。Apache-2
- [GitHub](https://github.com/nubank/fklearn) (👨💻 47 · 🔀 160 · 📦 13 · 📋 48 - 54% open · ⏱️ 25.08.2022):
@@ -587,7 +587,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install fklearn
```
tensorflow-upstream (🥉24 · ⭐ 610) - TensorFlow ROCm port. Apache-2
+tensorflow-upstream (🥉24 · ⭐ 610) - TensorFlow ROCm端口。Apache-2
- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨💻 4.1K · 🔀 71 · 📥 20 · 📋 330 - 16% open · ⏱️ 23.08.2022):
@@ -599,7 +599,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install tensorflow-rocm
```
mlpack (🥉23 · ⭐ 4.1K) - mlpack: a scalable C++ machine learning library --. ❗Unlicensed
+mlpack (🥉23 · ⭐ 4.1K) - mlpack：可扩展的C++机器学习库-。❗Unlicensed
- [GitHub](https://github.com/mlpack/mlpack) (👨💻 290 · 🔀 1.4K · 📋 1.4K - 2% open · ⏱️ 18.08.2022):
@@ -615,7 +615,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge mlpack
```
Neural Network Libraries (🥉23 · ⭐ 2.6K) - Neural Network Libraries. Apache-2
+Neural Network Libraries (🥉23 · ⭐ 2.6K) - 神经网络工具库。Apache-2
- [GitHub](https://github.com/sony/nnabla) (👨💻 67 · 🔀 310 · 📥 540 · 📋 72 - 31% open · ⏱️ 25.08.2022):
@@ -627,7 +627,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install nnabla
```
Neural Tangents (🥉23 · ⭐ 1.8K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+Neural Tangents (🥉23 · ⭐ 1.8K) - Python中的快速简便的无限神经网络。Apache-2
- [GitHub](https://github.com/google/neural-tangents) (👨💻 23 · 🔀 200 · 📥 240 · 📦 47 · 📋 120 - 34% open · ⏱️ 19.08.2022):
@@ -639,7 +639,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install neural-tangents
```
CNTK (🥉22 · ⭐ 17K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed
+CNTK (🥉22 · ⭐ 17K · 💀) - Microsoft认知工具包（CNTK），一种开源的深度学习工具包。❗Unlicensed
- [GitHub](https://github.com/microsoft/CNTK) (👨💻 270 · 🔀 4.3K · 📥 14K · 📋 3.3K - 22% open · ⏱️ 31.03.2020):
@@ -651,7 +651,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install cntk
```
Lasagne (🥉22 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in.. ❗Unlicensed
+Lasagne (🥉22 · ⭐ 3.8K · 💀) - 轻量级的库，用于在Theano中构建和训练神经网络。❗Unlicensed
- [GitHub](https://github.com/Lasagne/Lasagne) (👨💻 72 · 🔀 930 · 📦 920 · 📋 520 - 22% open · ⏱️ 20.11.2019):
@@ -663,7 +663,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install lasagne
```
SHOGUN (🥉22 · ⭐ 2.9K · 💀) - Unified and efficient Machine Learning. BSD-3
+SHOGUN (🥉22 · ⭐ 2.9K · 💀) - 统一高效的机器学习。BSD-3
- [GitHub](https://github.com/shogun-toolbox/shogun) (👨💻 250 · 🔀 1K · 📋 1.5K - 27% open · ⏱️ 08.12.2020):
@@ -679,7 +679,7 @@ _General-purpose machine learning and deep learning frameworks._
docker pull shogun/shogun
```
NeuPy (🥉22 · ⭐ 710 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+NeuPy (🥉22 · ⭐ 710 · 💀) - NeuPy是一个基于Tensorflow的python库，用于原型设计和构建。MIT
- [GitHub](https://github.com/itdxer/neupy) (👨💻 7 · 🔀 150 · 📦 130 · 📋 270 - 12% open · ⏱️ 02.09.2019):
@@ -691,7 +691,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install neupy
```
Haiku (🥉21 · ⭐ 2.1K) - JAX-based neural network library. Apache-2
+Haiku (🥉21 · ⭐ 2.1K) - 基于JAX的神经网络库。Apache-2
- [GitHub](https://github.com/deepmind/dm-haiku) (👨💻 63 · 🔀 170 · 📦 540 · 📋 180 - 26% open · ⏱️ 25.08.2022):
@@ -699,7 +699,7 @@ _General-purpose machine learning and deep learning frameworks._
git clone https://github.com/deepmind/dm-haiku
```
mace (🥉20 · ⭐ 4.7K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
+mace (🥉20 · ⭐ 4.7K) - MACE是针对移动设备优化的深度学习推理框架。Apache-2
- [GitHub](https://github.com/XiaoMi/mace) (👨💻 64 · 🔀 790 · 📥 1.4K · 📋 660 - 7% open · ⏱️ 30.05.2022):
@@ -707,7 +707,7 @@ _General-purpose machine learning and deep learning frameworks._
git clone https://github.com/XiaoMi/mace
```
Objax (🥉20 · ⭐ 720) - Objax is a machine learning framework that provides an Object.. Apache-2 jax
+Objax (🥉20 · ⭐ 720) - Objax是加速研究与应用的开源深度学习框架。Apache-2 jax
- [GitHub](https://github.com/google/objax) (👨💻 23 · 🔀 60 · 📦 25 · 📋 98 - 38% open · ⏱️ 12.07.2022):
@@ -719,7 +719,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install objax
```
MindsDB (🥉19 · ⭐ 9.7K) - Predictive AI layer for existing databases. ❗️GPL-3.0
+MindsDB (🥉19 · ⭐ 9.7K) - 为各种现有数据库提供预测性AI层。❗️GPL-3.0
- [GitHub](https://github.com/mindsdb/mindsdb) (👨💻 130 · 🔀 1K · 📋 1.2K - 11% open · ⏱️ 25.08.2022):
@@ -731,7 +731,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install mindsdb
```
neon (🥉19 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2
+neon (🥉19 · ⭐ 3.9K · 💀) - 英特尔Nervana深度学习框架。Apache-2
- [GitHub](https://github.com/NervanaSystems/neon) (👨💻 110 · 🔀 800 · 📥 340 · 📋 390 - 21% open · ⏱️ 22.05.2019):
@@ -743,7 +743,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install nervananeon
```
ThunderSVM (🥉19 · ⭐ 1.4K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+ThunderSVM (🥉19 · ⭐ 1.4K) - ThunderSVM：在GPU和CPU上的快速SVM库。Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨💻 34 · 🔀 190 · 📥 2.5K · 📋 210 - 29% open · ⏱️ 09.04.2022):
@@ -755,7 +755,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install thundersvm
```
Torchbearer (🥉19 · ⭐ 630 · 💀) - torchbearer: A model fitting library for PyTorch. MIT
+Torchbearer (🥉19 · ⭐ 630 · 💀) - torchbearer：PyTorch的模型拟合库。MIT
- [GitHub](https://github.com/pytorchbearer/torchbearer) (👨💻 13 · 🔀 66 · 📦 64 · 📋 250 - 4% open · ⏱️ 26.03.2021):
@@ -767,7 +767,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install torchbearer
```
elegy (🥉18 · ⭐ 400) - Elegy is a framework-agnostic Trainer interface for the Jax.. MIT jax
+elegy (🥉18 · ⭐ 400) - Elegy是Jax的与框架无关的Trainer工具。MIT jax
- [GitHub](https://github.com/poets-ai/elegy) (👨💻 17 · 🔀 26 · 📋 100 - 34% open · ⏱️ 23.05.2022):
@@ -779,7 +779,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install elegy
```
ThunderGBM (🥉17 · ⭐ 640) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
+ThunderGBM (🥉17 · ⭐ 640) - ThunderGBM：GPU上的快速GBDT和随机森林。Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨💻 10 · 🔀 82 · 📋 74 - 50% open · ⏱️ 09.08.2022):
@@ -791,7 +791,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install thundergbm
```
NeoML (🥉15 · ⭐ 690) - Machine learning framework for both deep learning and traditional.. Apache-2
+NeoML (🥉15 · ⭐ 690) - neoml是可以用于深度学习和传统机器学习的工具库。Apache-2
- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 32 · 🔀 110 · 📋 62 - 22% open · ⏱️ 24.08.2022):
@@ -799,7 +799,7 @@ _General-purpose machine learning and deep learning frameworks._
git clone https://github.com/neoml-lib/neoml
```
StarSpace (🥉12 · ⭐ 3.8K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT
+StarSpace (🥉12 · ⭐ 3.8K · 💀) - 学习embedding嵌入用于分类，检索和排序。MIT
- [GitHub](https://github.com/facebookresearch/StarSpace) (👨💻 17 · 🔀 510 · 📋 200 - 24% open · ⏱️ 13.12.2019):
@@ -809,13 +809,13 @@ _General-purpose machine learning and deep learning frameworks._
-## Data Visualization
+## 数据可视化
-
+
-_General-purpose and task-specific data visualization libraries._
+_通用和特定于任务的数据可视化库。_
-Matplotlib (🥇36 · ⭐ 16K) - matplotlib: plotting with Python. ❗Unlicensed
+Matplotlib (🥇36 · ⭐ 16K) - matplotlib：Python绘图工具库。❗Unlicensed
- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.4K · 🔀 6.3K · 📦 610K · 📋 8.8K - 17% open · ⏱️ 26.08.2022):
@@ -831,7 +831,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge matplotlib
```
pandas-profiling (🥇33 · ⭐ 9.4K) - Create HTML profiling reports from pandas DataFrame.. MIT
+pandas-profiling (🥇33 · ⭐ 9.4K) - 从pandas DataFrame创建HTML分析报告。MIT
- [GitHub](https://github.com/ydataai/pandas-profiling) (👨💻 92 · 🔀 1.3K · 📦 8.8K · 📋 580 - 19% open · ⏱️ 25.08.2022):
@@ -847,7 +847,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pandas-profiling
```
Altair (🥇33 · ⭐ 7.7K) - Declarative statistical visualization library for Python. BSD-3
+Altair (🥇33 · ⭐ 7.7K) - 用于Python的声明式统计可视化库。BSD-3
- [GitHub](https://github.com/altair-viz/altair) (👨💻 140 · 🔀 650 · 📦 32K · 📋 1.6K - 13% open · ⏱️ 23.08.2022):
@@ -863,7 +863,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge altair
```
dash (🥇32 · ⭐ 17K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript.. MIT
+dash (🥇32 · ⭐ 17K) - 适用于Python，R，Julia和Jupyter的分析型Web应用程序。MIT
- [GitHub](https://github.com/plotly/dash) (👨💻 120 · 🔀 1.7K · 📦 220 · 📋 1.3K - 47% open · ⏱️ 19.08.2022):
@@ -879,7 +879,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge dash
```
Plotly (🥇32 · ⭐ 12K) - The interactive graphing library for Python (includes Plotly Express). MIT
+Plotly (🥇32 · ⭐ 12K) - 适用于Python的交互式图形库（包括Plotly Express）。MIT
- [GitHub](https://github.com/plotly/plotly.py) (👨💻 200 · 🔀 2.1K · 📦 12 · 📋 2.4K - 49% open · ⏱️ 11.08.2022):
@@ -899,7 +899,7 @@ _General-purpose and task-specific data visualization libraries._
npm install plotlywidget
```
UMAP (🥇32 · ⭐ 5.7K) - Uniform Manifold Approximation and Projection. BSD-3
+UMAP (🥇32 · ⭐ 5.7K) - 均匀流形逼近和投影。BSD-3
- [GitHub](https://github.com/lmcinnes/umap) (👨💻 100 · 🔀 630 · 📦 6K · 📋 640 - 52% open · ⏱️ 23.08.2022):
@@ -911,7 +911,7 @@ _General-purpose and task-specific data visualization libraries._
pip install umap-learn
```
Graphviz (🥈30 · ⭐ 1.3K) - Simple Python interface for Graphviz. MIT
+Graphviz (🥈30 · ⭐ 1.3K) - Graphviz的简单Python界面。MIT
- [GitHub](https://github.com/xflr6/graphviz) (👨💻 19 · 🔀 180 · 📦 34K · 📋 140 - 4% open · ⏱️ 27.07.2022):
@@ -923,7 +923,7 @@ _General-purpose and task-specific data visualization libraries._
pip install graphviz
```
Seaborn (🥈29 · ⭐ 9.7K · 📉) - Statistical data visualization using matplotlib. BSD-3
+Seaborn (🥈29 · ⭐ 9.7K · 📉) - 使用matplotlib进行统计数据可视化。BSD-3
- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 170 · 🔀 1.6K · 📥 230 · 📋 2.1K - 4% open · ⏱️ 26.08.2022):
@@ -939,7 +939,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge seaborn
```
datashader (🥈29 · ⭐ 2.8K) - Quickly and accurately render even the largest data. BSD-3
+datashader (🥈29 · ⭐ 2.8K) - 快速准确地渲染大数据。BSD-3
- [GitHub](https://github.com/holoviz/datashader) (👨💻 49 · 🔀 340 · 📦 1.3K · 📋 500 - 23% open · ⏱️ 10.08.2022):
@@ -955,7 +955,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge datashader
```
Bokeh (🥈28 · ⭐ 17K) - Interactive Data Visualization in the browser, from Python. BSD-3
+Bokeh (🥈28 · ⭐ 17K) - 浏览器中的Python交互式数据可视化。BSD-3
- [GitHub](https://github.com/bokeh/bokeh) (👨💻 610 · 🔀 3.9K · 📦 150 · 📋 7K - 9% open · ⏱️ 24.08.2022):
@@ -971,7 +971,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge bokeh
```
pyecharts (🥈28 · ⭐ 13K) - Python Echarts Plotting Library. MIT
+pyecharts (🥈28 · ⭐ 13K) - Python Echarts绘图库。MIT
- [GitHub](https://github.com/pyecharts/pyecharts) (👨💻 30 · 🔀 2.7K · 📦 2.4K · 📋 1.6K - 1% open · ⏱️ 25.04.2022):
@@ -983,7 +983,7 @@ _General-purpose and task-specific data visualization libraries._
pip install pyecharts
```
missingno (🥈28 · ⭐ 3.3K) - Missing data visualization module for Python. MIT
+missingno (🥈28 · ⭐ 3.3K) - 在缺失值和混乱数据下，用于数据可视化的python模块。MIT
- [GitHub](https://github.com/ResidentMario/missingno) (👨💻 17 · 🔀 410 · 📦 8.3K · 📋 120 - 6% open · ⏱️ 27.02.2022):
@@ -999,7 +999,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge missingno
```
D-Tale (🥈27 · ⭐ 3.6K) - Visualizer for pandas data structures. ❗️LGPL-2.1
+D-Tale (🥈27 · ⭐ 3.6K) - pandas数据结构的可视化工具。❗️LGPL-2.1
- [GitHub](https://github.com/man-group/dtale) (👨💻 27 · 🔀 290 · 📦 460 · 📋 470 - 8% open · ⏱️ 07.08.2022):
@@ -1015,7 +1015,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge dtale
```
bqplot (🥈27 · ⭐ 3.3K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+bqplot (🥈27 · ⭐ 3.3K) - 用于IPython / Jupyter笔记本的绘图库。Apache-2
- [GitHub](https://github.com/bqplot/bqplot) (👨💻 59 · 🔀 440 · 📦 34 · 📋 570 - 36% open · ⏱️ 22.08.2022):
@@ -1035,7 +1035,7 @@ _General-purpose and task-specific data visualization libraries._
npm install bqplot
```
data-validation (🥈27 · ⭐ 660) - Library for exploring and validating machine learning.. Apache-2
+data-validation (🥈27 · ⭐ 660) - 用于探索和验证机器学习的库。Apache-2
- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 24 · 🔀 130 · 📥 370 · 📦 540 · 📋 150 - 16% open · ⏱️ 24.08.2022):
@@ -1047,7 +1047,7 @@ _General-purpose and task-specific data visualization libraries._
pip install tensorflow-data-validation
```
hvPlot (🥈27 · ⭐ 620) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
+hvPlot (🥈27 · ⭐ 620) - 用于构建的pandas，dask，xarray和networkx的高级绘图API。BSD-3
- [GitHub](https://github.com/holoviz/hvplot) (👨💻 37 · 🔀 73 · 📦 1.6K · 📋 480 - 37% open · ⏱️ 25.08.2022):
@@ -1063,7 +1063,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge hvplot
```
wordcloud (🥈26 · ⭐ 8.9K) - A little word cloud generator in Python. MIT
+wordcloud (🥈26 · ⭐ 8.9K) - Python中的词云生成器。MIT
- [GitHub](https://github.com/amueller/word_cloud) (👨💻 65 · 🔀 2.2K · 📋 470 - 20% open · ⏱️ 27.06.2022):
@@ -1079,7 +1079,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge wordcloud
```
Cufflinks (🥈26 · ⭐ 2.6K · 💀) - Productivity Tools for Plotly + Pandas. MIT
+Cufflinks (🥈26 · ⭐ 2.6K · 💀) - Plotly + Pandas的生产力工具。MIT
- [GitHub](https://github.com/santosjorge/cufflinks) (👨💻 38 · 🔀 600 · 📦 6.5K · 📋 210 - 41% open · ⏱️ 25.02.2021):
@@ -1091,7 +1091,7 @@ _General-purpose and task-specific data visualization libraries._
pip install cufflinks
```
HoloViews (🥈26 · ⭐ 2.3K) - With Holoviews, your data visualizes itself. BSD-3
+HoloViews (🥈26 · ⭐ 2.3K) - 使用Holoviews，您的数据可以可视化。BSD-3
- [GitHub](https://github.com/holoviz/holoviews) (👨💻 120 · 🔀 350 · 📋 2.8K - 31% open · ⏱️ 22.08.2022):
@@ -1111,7 +1111,7 @@ _General-purpose and task-specific data visualization libraries._
npm install @pyviz/jupyterlab_pyviz
```
PyVista (🥈26 · ⭐ 1.4K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
+PyVista (🥈26 · ⭐ 1.4K) - 通过简化的界面进行3D绘图和网格分析。MIT
- [GitHub](https://github.com/pyvista/pyvista) (👨💻 100 · 🔀 280 · 📥 660 · 📦 900 · 📋 920 - 28% open · ⏱️ 26.08.2022):
@@ -1127,7 +1127,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pyvista
```
Facets Overview (🥉25 · ⭐ 7K · 💀) - Visualizations for machine learning datasets. Apache-2
+Facets Overview (🥉25 · ⭐ 7K · 💀) - 机器学习数据集的可视化。Apache-2
- [GitHub](https://github.com/PAIR-code/facets) (👨💻 28 · 🔀 850 · 📦 130 · 📋 150 - 50% open · ⏱️ 06.05.2021):
@@ -1139,7 +1139,7 @@ _General-purpose and task-specific data visualization libraries._
pip install facets-overview
```
Chartify (🥉25 · ⭐ 3.2K · 💀) - Python library that makes it easy for data scientists to create.. Apache-2
+Chartify (🥉25 · ⭐ 3.2K · 💀) - Python库，使数据科学家可以轻松创建。Apache-2
- [GitHub](https://github.com/spotify/chartify) (👨💻 21 · 🔀 280 · 📦 65 · 📋 72 - 56% open · ⏱️ 05.02.2021):
@@ -1155,7 +1155,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge chartify
```
VisPy (🥉24 · ⭐ 2.9K) - High-performance interactive 2D/3D data visualization library. ❗Unlicensed
+VisPy (🥉24 · ⭐ 2.9K) - 高性能交互式2D / 3D数据可视化库。❗Unlicensed
- [GitHub](https://github.com/vispy/vispy) (👨💻 180 · 🔀 580 · 📦 820 · 📋 1.3K - 20% open · ⏱️ 24.08.2022):
@@ -1175,7 +1175,7 @@ _General-purpose and task-specific data visualization libraries._
npm install vispy
```
HyperTools (🥉24 · ⭐ 1.7K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
+HyperTools (🥉24 · ⭐ 1.7K) - 一个Python工具箱，用于获得对高维的几何洞察力。MIT
- [GitHub](https://github.com/ContextLab/hypertools) (👨💻 21 · 🔀 150 · 📥 20 · 📦 210 · 📋 190 - 35% open · ⏱️ 12.02.2022):
@@ -1187,7 +1187,7 @@ _General-purpose and task-specific data visualization libraries._
pip install hypertools
```
pythreejs (🥉24 · ⭐ 830) - A Jupyter - Three.js bridge. ❗Unlicensed
+pythreejs (🥉24 · ⭐ 830) - Jupyter-Three.js桥。❗Unlicensed
- [GitHub](https://github.com/jupyter-widgets/pythreejs) (👨💻 30 · 🔀 170 · 📦 21 · 📋 220 - 23% open · ⏱️ 25.08.2022):
@@ -1207,7 +1207,7 @@ _General-purpose and task-specific data visualization libraries._
npm install jupyter-threejs
```
PyQtGraph (🥉23 · ⭐ 2.9K) - Fast data visualization and GUI tools for scientific /.. ❗Unlicensed
+PyQtGraph (🥉23 · ⭐ 2.9K) - 用于科学/工程的快速数据可视化和GUI工具。❗Unlicensed
- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 230 · 🔀 930 · 📋 1K - 31% open · ⏱️ 24.08.2022):
@@ -1223,7 +1223,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pyqtgraph
```
FiftyOne (🥉23 · ⭐ 1.8K) - Visualize, create, and debug image and video datasets.. Apache-2
+FiftyOne (🥉23 · ⭐ 1.8K) - 可视化，创建和调试图像和视频数据集。Apache-2
- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 46 · 🔀 220 · 📦 160 · 📋 890 - 31% open · ⏱️ 25.08.2022):
@@ -1235,7 +1235,7 @@ _General-purpose and task-specific data visualization libraries._
pip install fiftyone
```
openTSNE (🥉23 · ⭐ 1K) - Extensible, parallel implementations of t-SNE. BSD-3
+openTSNE (🥉23 · ⭐ 1K) - t-SNE的可扩展并行实现。BSD-3
- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨💻 10 · 🔀 120 · 📦 380 · 📋 110 - 5% open · ⏱️ 18.03.2022):
@@ -1251,7 +1251,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge opentsne
```
python-ternary (🥉23 · ⭐ 580) - Ternary plotting library for python with matplotlib. MIT
+python-ternary (🥉23 · ⭐ 580) - 带有matplotlib的python三元绘图库。MIT
- [GitHub](https://github.com/marcharper/python-ternary) (👨💻 27 · 🔀 140 · 📥 18 · 📦 100 · 📋 130 - 25% open · ⏱️ 27.02.2022):
@@ -1267,7 +1267,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge python-ternary
```
Sweetviz (🥉22 · ⭐ 2.1K) - Visualize and compare datasets, target values and associations, with one.. MIT
+Sweetviz (🥉22 · ⭐ 2.1K) - 可视化和比较数据集，目标值和相关性。MIT
- [GitHub](https://github.com/fbdesignpro/sweetviz) (👨💻 6 · 🔀 210 · 📋 100 - 28% open · ⏱️ 08.06.2022):
@@ -1279,7 +1279,7 @@ _General-purpose and task-specific data visualization libraries._
pip install sweetviz
```
lets-plot (🥉22 · ⭐ 780) - An open-source plotting library for statistical data. MIT
+lets-plot (🥉22 · ⭐ 780) - 一个用于统计数据的开源绘图库。MIT
- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 17 · 🔀 34 · 📥 300 · 📦 17 · 📋 270 - 27% open · ⏱️ 23.08.2022):
@@ -1291,7 +1291,7 @@ _General-purpose and task-specific data visualization libraries._
pip install lets-plot
```
PDPbox (🥉22 · ⭐ 700 · 💀) - python partial dependence plot toolbox. MIT
+PDPbox (🥉22 · ⭐ 700 · 💀) - python部分依赖图工具箱。MIT
- [GitHub](https://github.com/SauceCat/PDPbox) (👨💻 7 · 🔀 110 · 📦 510 · 📋 60 - 36% open · ⏱️ 14.03.2021):
@@ -1307,7 +1307,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pdpbox
```
Perspective (🥉21 · ⭐ 4.8K) - Streaming pivot visualization via WebAssembly. Apache-2
+Perspective (🥉21 · ⭐ 4.8K) - 通过WebAssembly进行流式透视显示。Apache-2
- [GitHub](https://github.com/finos/perspective) (👨💻 72 · 🔀 490 · 📦 4 · 📋 540 - 14% open · ⏱️ 25.08.2022):
@@ -1323,7 +1323,7 @@ _General-purpose and task-specific data visualization libraries._
npm install @finos/perspective-jupyterlab
```
plotnine (🥉21 · ⭐ 3.2K) - A grammar of graphics for Python. MIT
+plotnine (🥉21 · ⭐ 3.2K) - Python的图形语法。MIT
- [GitHub](https://github.com/has2k1/plotnine) (👨💻 96 · 🔀 170 · 📋 500 - 13% open · ⏱️ 01.07.2022):
@@ -1339,7 +1339,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge plotnine
```
Multicore-TSNE (🥉21 · ⭐ 1.7K · 💀) - Parallel t-SNE implementation with Python and Torch.. BSD-3
+Multicore-TSNE (🥉21 · ⭐ 1.7K · 💀) - 使用Python和Torch并行执行t-SNE。BSD-3
- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨💻 15 · 🔀 200 · 📦 310 · 📋 58 - 63% open · ⏱️ 19.08.2020):
@@ -1355,7 +1355,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge multicore-tsne
```
AutoViz (🥉20 · ⭐ 890) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
+AutoViz (🥉20 · ⭐ 890) - 自动显示任意行的任何大小的任何数据集。Apache-2
- [GitHub](https://github.com/AutoViML/AutoViz) (👨💻 12 · 🔀 120 · 📦 240 · 📋 59 - 5% open · ⏱️ 10.08.2022):
@@ -1367,7 +1367,7 @@ _General-purpose and task-specific data visualization libraries._
pip install autoviz
```
PyWaffle (🥉20 · ⭐ 500) - Make Waffle Charts in Python. MIT
+PyWaffle (🥉20 · ⭐ 500) - 用Python作图。MIT
- [GitHub](https://github.com/gyli/PyWaffle) (👨💻 6 · 🔀 92 · 📦 150 · 📋 18 - 22% open · ⏱️ 08.06.2022):
@@ -1379,7 +1379,7 @@ _General-purpose and task-specific data visualization libraries._
pip install pywaffle
```
PandasGUI (🥉19 · ⭐ 2.7K) - A GUI for Pandas DataFrames. ❗️MIT-0
+PandasGUI (🥉19 · ⭐ 2.7K) - pandas Dataframe的GUI。❗️MIT-0
- [GitHub](https://github.com/adamerose/PandasGUI) (👨💻 13 · 🔀 180 · 📦 170 · 📋 160 - 27% open · ⏱️ 16.03.2022):
@@ -1391,7 +1391,7 @@ _General-purpose and task-specific data visualization libraries._
pip install pandasgui
```
HiPlot (🥉19 · ⭐ 2.3K) - HiPlot makes understanding high dimensional data easy. MIT
+HiPlot (🥉19 · ⭐ 2.3K) - HiPlot使理解高维数据变得容易。MIT
- [GitHub](https://github.com/facebookresearch/hiplot) (👨💻 8 · 🔀 120 · 📦 5 · 📋 80 - 15% open · ⏱️ 05.07.2022):
@@ -1407,7 +1407,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge hiplot
```
pivottablejs (🥉19 · ⭐ 470 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. ❗Unlicensed
+pivottablejs (🥉19 · ⭐ 470 · 💀) - Jupyter/IPython的Dragndrop数据透视表和图表。❗Unlicensed
- [GitHub](https://github.com/nicolaskruchten/jupyter_pivottablejs) (👨💻 3 · 🔀 62 · 📦 260 · 📋 58 - 29% open · ⏱️ 04.12.2018):
@@ -1419,7 +1419,7 @@ _General-purpose and task-specific data visualization libraries._
pip install pivottablejs
```
joypy (🥉19 · ⭐ 440 · 💤) - Joyplots in Python with matplotlib & pandas. MIT
+joypy (🥉19 · ⭐ 440 · 💤) - 带有matplotlib和pandas的Python中的Joyplots。MIT
- [GitHub](https://github.com/leotac/joypy) (👨💻 6 · 🔀 47 · 📦 190 · 📋 47 - 21% open · ⏱️ 19.12.2021):
@@ -1435,7 +1435,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge joypy
```
ivis (🥉19 · ⭐ 280) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
+ivis (🥉19 · ⭐ 280) - 使用算法对非常大的数据集进行降维。Apache-2
- [GitHub](https://github.com/beringresearch/ivis) (👨💻 10 · 🔀 35 · 📦 26 · 📋 57 - 5% open · ⏱️ 29.07.2022):
@@ -1447,7 +1447,7 @@ _General-purpose and task-specific data visualization libraries._
pip install ivis
```
Pandas-Bokeh (🥉18 · ⭐ 800) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
+Pandas-Bokeh (🥉18 · ⭐ 800) - pandas和GeoPandas的Bokeh绘图后端。MIT
- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨💻 14 · 🔀 100 · 📋 98 - 31% open · ⏱️ 25.03.2022):
@@ -1459,7 +1459,7 @@ _General-purpose and task-specific data visualization libraries._
pip install pandas-bokeh
```
animatplot (🥉18 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib. MIT
+animatplot (🥉18 · ⭐ 400 · 💀) - 用于在patpliblib上构建动画图的python程序包。MIT
- [GitHub](https://github.com/t-makaro/animatplot) (👨💻 7 · 🔀 34 · 📦 35 · 📋 30 - 43% open · ⏱️ 05.10.2020):
@@ -1475,7 +1475,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge animatplot
```
vega (🥉18 · ⭐ 330) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
+vega (🥉18 · ⭐ 330) - 适用于Vega和Vega-Lite的IPython/Jupyter笔记本模块。BSD-3
- [GitHub](https://github.com/vega/ipyvega) (👨💻 11 · 🔀 55 · 📋 95 - 13% open · ⏱️ 01.08.2022):
@@ -1491,7 +1491,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge vega
```
pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT
+pdvega (🥉16 · ⭐ 340 · 💀) - 使用Vega-Lite交互式绘制pandas数据图。MIT
- [GitHub](https://github.com/altair-viz/pdvega) (👨💻 9 · 🔀 31 · 📦 67 · 📋 26 - 61% open · ⏱️ 29.03.2019):
@@ -1503,7 +1503,7 @@ _General-purpose and task-specific data visualization libraries._
pip install pdvega
```
data-describe (🥉14 · ⭐ 290 · 💤) - datadescribe: Pythonic EDA Accelerator for Data.. ❗Unlicensed
+data-describe (🥉14 · ⭐ 290 · 💤) - 数据描述：Pythonic EDA数据科学加速器。❗Unlicensed
- [GitHub](https://github.com/data-describe/data-describe) (👨💻 14 · 🔀 18 · 📋 240 - 28% open · ⏱️ 19.11.2021):
@@ -1515,7 +1515,7 @@ _General-purpose and task-specific data visualization libraries._
pip install data-describe
```
nx-altair (🥉14 · ⭐ 200 · 💀) - Draw interactive NetworkX graphs with Altair. MIT
+nx-altair (🥉14 · ⭐ 200 · 💀) - 使用Altair绘制交互式NetworkX图形。MIT
- [GitHub](https://github.com/Zsailer/nx_altair) (👨💻 3 · 🔀 23 · 📋 10 - 60% open · ⏱️ 02.06.2020):
@@ -1527,7 +1527,7 @@ _General-purpose and task-specific data visualization libraries._
pip install nx-altair
```
nptsne (🥉11 · ⭐ 29 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
+nptsne (🥉11 · ⭐ 29 · 💀) - nptsne是numpy兼容的python二进制包。Apache-2
- [GitHub](https://github.com/biovault/nptsne) (👨💻 3 · 🔀 2 · 📦 4 · 📋 13 - 53% open · ⏱️ 03.02.2021):
@@ -1541,13 +1541,13 @@ _General-purpose and task-specific data visualization libraries._
-## Text Data & NLP
+## 文本数据和NLP
-
+
-_Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
+_用于处理，清理，处理和分析文本数据的库，以及用于NLP任务的库，例如语言检测，模糊匹配，文本分类，seq2seq学习，智能对话，关键字提取和机器翻译。_
-spaCy (🥇38 · ⭐ 24K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+spaCy (🥇38 · ⭐ 24K) - Python中的工业级自然语言处理（NLP）工具包。MIT
- [GitHub](https://github.com/explosion/spaCy) (👨💻 700 · 🔀 3.8K · 📥 3.1K · 📦 43K · 📋 5.2K - 1% open · ⏱️ 23.08.2022):
@@ -1563,7 +1563,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge spacy
```
transformers (🥇37 · ⭐ 69K) - Transformers: State-of-the-art Natural Language.. Apache-2
+transformers (🥇37 · ⭐ 69K) - transformers：先进的自然语言模型库。Apache-2
- [GitHub](https://github.com/huggingface/transformers) (👨💻 1.4K · 🔀 15K · 📥 1.5K · 📦 34K · 📋 9.9K - 4% open · ⏱️ 25.08.2022):
@@ -1579,7 +1579,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge transformers
```
gensim (🥇36 · ⭐ 13K) - Topic Modelling for Humans. ❗️LGPL-2.1
+gensim (🥇36 · ⭐ 13K) - 主题模型工具库。❗️LGPL-2.1
- [GitHub](https://github.com/RaRe-Technologies/gensim) (👨💻 430 · 🔀 4K · 📥 3.8K · 📦 36K · 📋 1.8K - 20% open · ⏱️ 22.08.2022):
@@ -1595,7 +1595,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge gensim
```
sentence-transformers (🥇34 · ⭐ 8.3K) - Sentence Embeddings with BERT & XLNet. Apache-2
+sentence-transformers (🥇34 · ⭐ 8.3K) - BERT和XLNet的句子嵌入。Apache-2
- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨💻 93 · 🔀 1.6K · 📦 4K · 📋 1.5K - 51% open · ⏱️ 15.08.2022):
@@ -1607,7 +1607,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install sentence-transformers
```
AllenNLP (🥇33 · ⭐ 11K) - An open-source NLP research library, built on PyTorch. Apache-2
+AllenNLP (🥇33 · ⭐ 11K) - 基于PyTorch的开源NLP研究库。Apache-2
- [GitHub](https://github.com/allenai/allennlp) (👨💻 260 · 🔀 2.1K · 📥 47 · 📦 2.7K · 📋 2.5K - 3% open · ⏱️ 24.08.2022):
@@ -1619,7 +1619,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install allennlp
```
nltk (🥇33 · ⭐ 11K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+nltk (🥇33 · ⭐ 11K) - 用于符号和统计自然的库和程序套件。Apache-2
- [GitHub](https://github.com/nltk/nltk) (👨💻 430 · 🔀 2.5K · 📦 150K · 📋 1.6K - 13% open · ⏱️ 29.07.2022):
@@ -1635,7 +1635,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge nltk
```
sentencepiece (🥇33 · ⭐ 6.1K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+sentencepiece (🥇33 · ⭐ 6.1K) - 用于基于神经网络的文本的预处理器。Apache-2
- [GitHub](https://github.com/google/sentencepiece) (👨💻 68 · 🔀 810 · 📥 22K · 📦 17K · 📋 540 - 2% open · ⏱️ 21.08.2022):
@@ -1651,7 +1651,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sentencepiece
```
ChatterBot (🥇32 · ⭐ 12K · 💀) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
+ChatterBot (🥇32 · ⭐ 12K · 💀) - ChatterBot是机器学习的对话引擎。BSD-3
- [GitHub](https://github.com/gunthercox/ChatterBot) (👨💻 100 · 🔀 4K · 📦 4.5K · 📋 1.6K - 19% open · ⏱️ 01.06.2021):
@@ -1663,7 +1663,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install chatterbot
```
fastText (🥇31 · ⭐ 24K) - Library for fast text representation and classification. MIT
+fastText (🥇31 · ⭐ 24K) - 用于快速文本表示和分类的库。MIT
- [GitHub](https://github.com/facebookresearch/fastText) (👨💻 59 · 🔀 4.3K · 📦 3.2K · 📋 1K - 41% open · ⏱️ 04.03.2022):
@@ -1679,7 +1679,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge fasttext
```
TextBlob (🥇31 · ⭐ 8.3K · 💤) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT
+TextBlob (🥇31 · ⭐ 8.3K · 💤) - 包含情感分析、词性标注等等功能的NLP工具库。MIT
- [GitHub](https://github.com/sloria/TextBlob) (👨💻 35 · 🔀 1K · 📥 100 · 📦 22K · 📋 250 - 37% open · ⏱️ 22.10.2021):
@@ -1695,7 +1695,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textblob
```
flair (🥈30 · ⭐ 12K) - A very simple framework for state-of-the-art Natural Language.. ❗Unlicensed
+flair (🥈30 · ⭐ 12K) - 一个用于最先进的自然语言处理的非常简单的框架。❗Unlicensed
- [GitHub](https://github.com/flairNLP/flair) (👨💻 230 · 🔀 1.6K · 📦 1.6K · 📋 1.9K - 6% open · ⏱️ 18.08.2022):
@@ -1707,7 +1707,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install flair
```
fuzzywuzzy (🥈30 · ⭐ 8.7K · 💤) - Fuzzy String Matching in Python. ❗️GPL-2.0
+fuzzywuzzy (🥈30 · ⭐ 8.7K · 💤) - Python中的模糊字符串匹配。❗️GPL-2.0
- [GitHub](https://github.com/seatgeek/fuzzywuzzy) (👨💻 70 · 🔀 870 · 📦 14K · 📋 180 - 43% open · ⏱️ 09.09.2021):
@@ -1723,7 +1723,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge fuzzywuzzy
```
fairseq (🥈29 · ⭐ 19K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
+fairseq (🥈29 · ⭐ 19K) - 用Python编写的Facebook AI Research Sequence-to-Sequence工具包。MIT
- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 400 · 🔀 4.7K · 📥 260 · 📦 920 · 📋 3.5K - 18% open · ⏱️ 24.08.2022):
@@ -1735,7 +1735,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install fairseq
```
TextDistance (🥈29 · ⭐ 2.9K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
+TextDistance (🥈29 · ⭐ 2.9K) - 计算序列之间的距离，包含30多种算法。MIT
- [GitHub](https://github.com/life4/textdistance) (👨💻 12 · 🔀 230 · 📥 830 · 📦 2.6K · ⏱️ 21.08.2022):
@@ -1751,7 +1751,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textdistance
```
TensorFlow Text (🥈29 · ⭐ 980) - Making text a first-class citizen in TensorFlow. Apache-2
+TensorFlow Text (🥈29 · ⭐ 980) - TensorFlow文本处理。Apache-2
- [GitHub](https://github.com/tensorflow/text) (👨💻 91 · 🔀 230 · 📦 2.2K · 📋 180 - 18% open · ⏱️ 22.08.2022):
@@ -1763,7 +1763,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install tensorflow-text
```
GluonNLP (🥈28 · ⭐ 2.4K · 💤) - Toolkit that enables easy text preprocessing, datasets.. Apache-2
+GluonNLP (🥈28 · ⭐ 2.4K · 💤) - 可轻松进行文本预处理，数据集加载和处理的工具包。Apache-2
- [GitHub](https://github.com/dmlc/gluon-nlp) (👨💻 82 · 🔀 490 · 📦 920 · 📋 530 - 44% open · ⏱️ 24.08.2021):
@@ -1775,7 +1775,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install gluonnlp
```
DeepPavlov (🥈27 · ⭐ 5.8K) - An open source library for deep learning end-to-end dialog.. Apache-2
+DeepPavlov (🥈27 · ⭐ 5.8K) - 一个用于深度学习端到端对话的开源库。Apache-2
- [GitHub](https://github.com/deepmipt/DeepPavlov) (👨💻 67 · 🔀 1K · 📦 280 · 📋 620 - 8% open · ⏱️ 31.05.2022):
@@ -1787,7 +1787,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install deeppavlov
```
OpenNMT (🥈27 · ⭐ 5.7K) - Open Source Neural Machine Translation in PyTorch. MIT
+OpenNMT (🥈27 · ⭐ 5.7K) - PyTorch中的开源神经机器翻译。MIT
- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨💻 180 · 🔀 2K · 📦 150 · 📋 1.3K - 6% open · ⏱️ 18.08.2022):
@@ -1799,7 +1799,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install OpenNMT-py
```
spark-nlp (🥈27 · ⭐ 2.9K) - State of the Art Natural Language Processing. Apache-2
+spark-nlp (🥈27 · ⭐ 2.9K) - 最先进的自然语言处理。Apache-2
- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 130 · 🔀 570 · 📋 700 - 5% open · ⏱️ 24.08.2022):
@@ -1811,7 +1811,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install spark-nlp
```
spacy-transformers (🥈27 · ⭐ 1.1K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+spacy-transformers (🥈27 · ⭐ 1.1K) - 使用经过预训练的transformer模型，例如BERT，XLNet和GPT-2。MIT spacy
- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 18 · 🔀 140 · 📦 610 · ⏱️ 23.08.2022):
@@ -1823,7 +1823,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install spacy-transformers
```
ParlAI (🥈26 · ⭐ 9.4K) - A framework for training and evaluating AI models on a variety of.. MIT
+ParlAI (🥈26 · ⭐ 9.4K) - 一个用于训练和评估AI模型的框架。MIT
- [GitHub](https://github.com/facebookresearch/ParlAI) (👨💻 200 · 🔀 1.8K · 📦 87 · 📋 1.4K - 5% open · ⏱️ 25.08.2022):
@@ -1835,7 +1835,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install parlai
```
Tokenizers (🥈26 · ⭐ 5.8K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Tokenizers (🥈26 · ⭐ 5.8K) - 针对研究和应用进行了优化的快速最先进的分词器。Apache-2
- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 59 · 🔀 480 · 📦 51 · 📋 650 - 30% open · ⏱️ 25.08.2022):
@@ -1851,7 +1851,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge tokenizers
```
Sumy (🥈26 · ⭐ 2.9K) - Module for automatic summarization of text documents and HTML pages. Apache-2
+Sumy (🥈26 · ⭐ 2.9K) - 自动汇总文本文档和HTML页面的模块。Apache-2
- [GitHub](https://github.com/miso-belica/sumy) (👨💻 23 · 🔀 470 · 📦 1.4K · 📋 110 - 15% open · ⏱️ 31.07.2022):
@@ -1863,7 +1863,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install sumy
```
jellyfish (🥈26 · ⭐ 1.7K · 💤) - a python library for doing approximate and phonetic matching of.. BSD-2
+jellyfish (🥈26 · ⭐ 1.7K · 💤) - 一个python库，用于进行文本相似度和距离计算。BSD-2
- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 25 · 🔀 140 · 📦 4.1K · 📋 110 - 10% open · ⏱️ 07.01.2022):
@@ -1879,7 +1879,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge jellyfish
```
Rasa (🥈25 · ⭐ 15K) - Open source machine learning framework to automate text- and voice-.. Apache-2
+Rasa (🥈25 · ⭐ 15K) - 开源机器学习框架，可处理文本和语音多场景问题。Apache-2
- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 550 · 🔀 4K · 📋 6.6K - 12% open · ⏱️ 24.08.2022):
@@ -1891,7 +1891,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install rasa
```
stanza (🥈25 · ⭐ 6.2K) - Official Stanford NLP Python Library for Many Human Languages. ❗Unlicensed
+stanza (🥈25 · ⭐ 6.2K) - 斯坦福NLP官方Python语言库，支持多种语言。❗Unlicensed
- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 48 · 🔀 790 · 📦 1.2K · 📋 720 - 11% open · ⏱️ 23.04.2022):
@@ -1907,7 +1907,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c stanfordnlp stanza
```
ftfy (🥈25 · ⭐ 3.3K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
+ftfy (🥈25 · ⭐ 3.3K) - 修复Unicode文本中的故障功能的工具库。MIT
- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 18 · 🔀 110 · 📦 6.6K · 📋 130 - 9% open · ⏱️ 09.02.2022):
@@ -1923,7 +1923,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge ftfy
```
fastNLP (🥈25 · ⭐ 2.7K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2
+fastNLP (🥈25 · ⭐ 2.7K) - fastNLP：模块化和可扩展的NLP框架。Apache-2
- [GitHub](https://github.com/fastnlp/fastNLP) (👨💻 59 · 🔀 420 · 📥 66 · 📦 90 · 📋 190 - 22% open · ⏱️ 23.08.2022):
@@ -1935,7 +1935,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install fastnlp
```
neuralcoref (🥈25 · ⭐ 2.6K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
+neuralcoref (🥈25 · ⭐ 2.6K · 💀) - 基于SpaCy的神经网络实现快速共指解析。MIT
- [GitHub](https://github.com/huggingface/neuralcoref) (👨💻 21 · 🔀 440 · 📥 450 · 📦 520 · 📋 300 - 16% open · ⏱️ 22.06.2021):
@@ -1951,7 +1951,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge neuralcoref
```
PyTextRank (🥈25 · ⭐ 1.9K) - Python implementation of TextRank for phrase extraction and.. MIT
+PyTextRank (🥈25 · ⭐ 1.9K) - TextRank的Python实现。MIT
- [GitHub](https://github.com/DerwenAI/pytextrank) (👨💻 18 · 🔀 300 · 📦 280 · 📋 89 - 19% open · ⏱️ 27.07.2022):
@@ -1963,7 +1963,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install pytextrank
```
SciSpacy (🥈25 · ⭐ 1.2K) - A full spaCy pipeline and models for scientific/biomedical.. Apache-2
+SciSpacy (🥈25 · ⭐ 1.2K) - 完整的科学/生物医学的SpaCy应用案例。Apache-2
- [GitHub](https://github.com/allenai/scispacy) (👨💻 24 · 🔀 160 · 📦 500 · 📋 260 - 10% open · ⏱️ 04.08.2022):
@@ -1975,7 +1975,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install scispacy
```
pyahocorasick (🥈25 · ⭐ 740) - Python module (C extension and plain python) implementing Aho-.. BSD-3
+pyahocorasick (🥈25 · ⭐ 740) - Python文本工具库。BSD-3
- [GitHub](https://github.com/WojciechMula/pyahocorasick) (👨💻 24 · 🔀 110 · 📦 1.2K · 📋 120 - 20% open · ⏱️ 04.05.2022):
@@ -1991,7 +1991,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge pyahocorasick
```
Ciphey (🥈24 · ⭐ 11K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
+Ciphey (🥈24 · ⭐ 11K) - 在不知道密钥或密码的情况下自动解密加密。MIT
- [GitHub](https://github.com/Ciphey/Ciphey) (👨💻 46 · 🔀 650 · 📋 290 - 15% open · ⏱️ 28.06.2022):
@@ -2007,7 +2007,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
docker pull remnux/ciphey
```
vaderSentiment (🥈24 · ⭐ 3.7K) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT
+vaderSentiment (🥈24 · ⭐ 3.7K) - VADER情感分析。MIT
- [GitHub](https://github.com/cjhutto/vaderSentiment) (👨💻 11 · 🔀 880 · 📦 4.1K · 📋 110 - 31% open · ⏱️ 01.04.2022):
@@ -2019,7 +2019,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install vadersentiment
```
torchtext (🥈24 · ⭐ 3.1K) - Data loaders and abstractions for text and NLP. BSD-3
+torchtext (🥈24 · ⭐ 3.1K) - 文本和NLP的数据加载器和抽象。BSD-3
- [GitHub](https://github.com/pytorch/text) (👨💻 140 · 🔀 700 · 📋 670 - 33% open · ⏱️ 19.08.2022):
@@ -2031,7 +2031,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install torchtext
```
pytorch-nlp (🥈24 · ⭐ 2.1K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3
+pytorch-nlp (🥈24 · ⭐ 2.1K · 💀) - PyTorch自然语言处理（NLP）的基本实用程序。BSD-3
- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (👨💻 18 · 🔀 250 · 📦 410 · 📋 67 - 26% open · ⏱️ 10.07.2021):
@@ -2043,7 +2043,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install pytorch-nlp
```
CLTK (🥈24 · ⭐ 740) - The Classical Language Toolkit. MIT
+CLTK (🥈24 · ⭐ 740) - 古典语言工具包。MIT
- [GitHub](https://github.com/cltk/cltk) (👨💻 120 · 🔀 310 · 📥 25 · 📦 210 · 📋 530 - 5% open · ⏱️ 20.07.2022):
@@ -2055,7 +2055,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install cltk
```
flashtext (🥉23 · ⭐ 5.2K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+flashtext (🥉23 · ⭐ 5.2K · 💀) - 从句子中提取关键字或替换句子中的关键字。MIT
- [GitHub](https://github.com/vi3k6i5/flashtext) (👨💻 7 · 🔀 570 · 📦 850 · 📋 100 - 49% open · ⏱️ 03.05.2020):
@@ -2067,7 +2067,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install flashtext
```
Dedupe (🥉23 · ⭐ 3.5K) - A python library for accurate and scalable fuzzy matching, record.. MIT
+Dedupe (🥉23 · ⭐ 3.5K) - 一个用于准确和可扩展的模糊匹配的python库。MIT
- [GitHub](https://github.com/dedupeio/dedupe) (👨💻 64 · 🔀 460 · 📦 230 · 📋 760 - 7% open · ⏱️ 17.08.2022):
@@ -2079,7 +2079,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install dedupe
```
snowballstemmer (🥉23 · ⭐ 580 · 💤) - Snowball compiler and stemming algorithms. BSD-3
+snowballstemmer (🥉23 · ⭐ 580 · 💤) - Snowball编译器和词干算法。BSD-3
- [GitHub](https://github.com/snowballstem/snowball) (👨💻 28 · 🔀 160 · 📦 4 · 📋 60 - 26% open · ⏱️ 17.12.2021):
@@ -2095,7 +2095,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge snowballstemmer
```
pySBD (🥉23 · ⭐ 470 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
+pySBD (🥉23 · ⭐ 470 · 💀) - pySBD（Python句子边界歧义消除）。MIT
- [GitHub](https://github.com/nipunsadvilkar/pySBD) (👨💻 6 · 🔀 58 · 📦 390 · 📋 65 - 21% open · ⏱️ 11.02.2021):
@@ -2107,7 +2107,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install pysbd
```
stop-words (🥉23 · ⭐ 140 · 💀) - Get list of common stop words in various languages in Python. BSD-3
+stop-words (🥉23 · ⭐ 140 · 💀) - 获取Python中各种语言的常用停用词表。BSD-3
- [GitHub](https://github.com/Alir3z4/python-stop-words) (👨💻 8 · 🔀 26 · 📦 1.6K · 📋 12 - 25% open · ⏱️ 23.07.2018):
@@ -2119,7 +2119,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install stop-words
```
textgenrnn (🥉22 · ⭐ 4.7K · 💀) - Easily train your own text-generating neural network.. ❗Unlicensed
+textgenrnn (🥉22 · ⭐ 4.7K · 💀) - 轻松地训练自己的文本生成神经网络。❗Unlicensed
- [GitHub](https://github.com/minimaxir/textgenrnn) (👨💻 19 · 🔀 720 · 📥 740 · 📦 1K · 📋 220 - 57% open · ⏱️ 14.07.2020):
@@ -2131,7 +2131,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install textgenrnn
```
NeMo (🥉22 · ⭐ 4.6K) - NeMo: a toolkit for conversational AI. Apache-2
+NeMo (🥉22 · ⭐ 4.6K) - NeMo：用于智能对话的工具包。Apache-2
- [GitHub](https://github.com/NVIDIA/NeMo) (👨💻 170 · 🔀 1.1K · 📥 15K · 📋 1.2K - 3% open · ⏱️ 25.08.2022):
@@ -2143,7 +2143,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install nemo-toolkit
```
T5 (🥉22 · ⭐ 4.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
+T5 (🥉22 · ⭐ 4.4K) - 探索迁移学习的论文源码Apache-2
- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨💻 50 · 🔀 590 · 📦 110 · 📋 390 - 12% open · ⏱️ 10.08.2022):
@@ -2155,7 +2155,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install t5
```
phonenumbers (🥉22 · ⭐ 3.1K) - Python port of Google's libphonenumber. Apache-2
+phonenumbers (🥉22 · ⭐ 3.1K) - Google的libphonenumber的Python端口。Apache-2
- [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (👨💻 26 · 🔀 370 · 📋 150 - 2% open · ⏱️ 19.08.2022):
@@ -2171,7 +2171,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge phonenumbers
```
langid (🥉22 · ⭐ 2K · 💀) - Stand-alone language identification system. ❗Unlicensed
+langid (🥉22 · ⭐ 2K · 💀) - 独立的语言识别系统。❗Unlicensed
- [GitHub](https://github.com/saffsd/langid.py) (👨💻 9 · 🔀 280 · 📦 1.1K · 📋 71 - 35% open · ⏱️ 15.07.2017):
@@ -2183,7 +2183,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install langid
```
scattertext (🥉22 · ⭐ 1.9K) - Beautiful visualizations of how language differs among document.. Apache-2
+scattertext (🥉22 · ⭐ 1.9K) - 文件之间语言分布的漂亮可视化效果。Apache-2
- [GitHub](https://github.com/JasonKessler/scattertext) (👨💻 12 · 🔀 250 · 📦 310 · 📋 89 - 17% open · ⏱️ 26.03.2022):
@@ -2199,7 +2199,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge scattertext
```
anaGo (🥉22 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT
+anaGo (🥉22 · ⭐ 1.5K · 💀) - 双向LSTM-CRF和ELMo实现，可用于命名实体识别和文本分类等任务。MIT
- [GitHub](https://github.com/Hironsan/anago) (👨💻 11 · 🔀 360 · 📦 30 · 📋 110 - 33% open · ⏱️ 01.04.2021):
@@ -2211,7 +2211,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install anago
```
sense2vec (🥉22 · ⭐ 1.4K · 💤) - Contextually-keyed word vectors. MIT
+sense2vec (🥉22 · ⭐ 1.4K · 💤) - 上下文相关性构建词向量。MIT
- [GitHub](https://github.com/explosion/sense2vec) (👨💻 17 · 🔀 220 · 📥 36K · 📦 170 · 📋 110 - 18% open · ⏱️ 16.08.2021):
@@ -2227,7 +2227,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sense2vec
```
Snips NLU (🥉21 · ⭐ 3.7K · 💀) - Snips Python library to extract meaning from text. Apache-2
+Snips NLU (🥉21 · ⭐ 3.7K · 💀) - 从文本中提取含义的Python库。Apache-2
- [GitHub](https://github.com/snipsco/snips-nlu) (👨💻 22 · 🔀 490 · 📋 260 - 23% open · ⏱️ 03.05.2021):
@@ -2239,7 +2239,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install snips-nlu
```
Texthero (🥉21 · ⭐ 2.5K) - Text preprocessing, representation and visualization from zero to hero. MIT
+Texthero (🥉21 · ⭐ 2.5K) - 文本预处理，表示和可视化从入门到精通。MIT
- [GitHub](https://github.com/jbesomi/texthero) (👨💻 19 · 🔀 220 · 📥 92 · 📋 110 - 45% open · ⏱️ 19.07.2022):
@@ -2251,7 +2251,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install texthero
```
Texar (🥉21 · ⭐ 2.3K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2
+Texar (🥉21 · ⭐ 2.3K · 💀) - 机器学习，自然语言处理等工具包。Apache-2
- [GitHub](https://github.com/asyml/texar) (👨💻 43 · 🔀 360 · 📦 26 · 📋 160 - 19% open · ⏱️ 29.07.2020):
@@ -2263,7 +2263,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install texar
```
polyglot (🥉21 · ⭐ 2K · 💀) - Multilingual text (NLP) processing toolkit. ❗Unlicensed
+polyglot (🥉21 · ⭐ 2K · 💀) - 多语言文本（NLP）处理工具包。❗Unlicensed
- [GitHub](https://github.com/aboSamoor/polyglot) (👨💻 26 · 🔀 310 · 📦 750 · 📋 210 - 68% open · ⏱️ 22.09.2020):
@@ -2275,7 +2275,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install polyglot
```
YouTokenToMe (🥉21 · ⭐ 820 · 💀) - Unsupervised text tokenizer focused on computational efficiency. MIT
+YouTokenToMe (🥉21 · ⭐ 820 · 💀) - 用于基于神经网络的文本的预处理器。MIT
- [GitHub](https://github.com/VKCOM/YouTokenToMe) (👨💻 6 · 🔀 61 · 📦 290 · 📋 54 - 55% open · ⏱️ 28.01.2021):
@@ -2287,7 +2287,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install youtokentome
```
inflect (🥉21 · ⭐ 690) - Correctly generate plurals, ordinals, indefinite articles; convert numbers.. MIT
+inflect (🥉21 · ⭐ 690) - 辅助功能，正确生成复数，序数，不定冠词，转换数字。MIT
- [GitHub](https://github.com/jaraco/inflect) (👨💻 45 · 🔀 74 · 📋 91 - 18% open · ⏱️ 26.08.2022):
@@ -2303,7 +2303,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge inflect
```
PyText (🥉20 · ⭐ 6.4K) - A natural language modeling framework based on PyTorch. ❗Unlicensed
+PyText (🥉20 · ⭐ 6.4K) - 基于PyTorch的自然语言建模框架。❗Unlicensed
- [GitHub](https://github.com/facebookresearch/pytext) (👨💻 230 · 🔀 790 · 📥 300 · 📦 110 · 📋 140 - 45% open · ⏱️ 11.08.2022):
@@ -2315,7 +2315,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install pytext-nlp
```
MatchZoo (🥉20 · ⭐ 3.7K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2
+MatchZoo (🥉20 · ⭐ 3.7K · 💀) - 便于深层设计，比较和共享的工具库。Apache-2
- [GitHub](https://github.com/NTMC-Community/MatchZoo) (👨💻 36 · 🔀 900 · 📦 11 · 📋 460 - 7% open · ⏱️ 02.06.2021):
@@ -2327,7 +2327,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install matchzoo
```
NLP Architect (🥉20 · ⭐ 2.9K) - A model library for exploring state-of-the-art deep learning.. Apache-2
+NLP Architect (🥉20 · ⭐ 2.9K) - 用于探索最先进的深度学习的模型库。Apache-2
- [GitHub](https://github.com/IntelLabs/nlp-architect) (👨💻 37 · 🔀 430 · 📦 8 · 📋 130 - 11% open · ⏱️ 29.06.2022):
@@ -2339,7 +2339,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install nlp-architect
```
FARM (🥉20 · ⭐ 1.6K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2
+FARM (🥉20 · ⭐ 1.6K) - NLP的快速和轻松迁移学习。Apache-2
- [GitHub](https://github.com/deepset-ai/FARM) (👨💻 37 · 🔀 220 · 📋 400 - 0% open · ⏱️ 25.04.2022):
@@ -2351,7 +2351,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install farm
```
DELTA (🥉20 · ⭐ 1.5K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2
+DELTA (🥉20 · ⭐ 1.5K · 💀) - DELTA是一个基于深度学习的自然语言和语音处理平台。Apache-2
- [GitHub](https://github.com/Delta-ML/delta) (👨💻 41 · 🔀 290 · 📋 75 - 1% open · ⏱️ 17.12.2020):
@@ -2367,7 +2367,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
docker pull zh794390558/delta
```
pyfasttext (🥉20 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0
+pyfasttext (🥉20 · ⭐ 230 · 💀) - fastText的另一个Python接口。❗️GPL-3.0
- [GitHub](https://github.com/vrasneur/pyfasttext) (👨💻 4 · 🔀 30 · 📥 350 · 📦 240 · 📋 49 - 42% open · ⏱️ 08.12.2018):
@@ -2379,7 +2379,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install pyfasttext
```
haystack (🥉19 · ⭐ 5.2K) - End-to-end Python framework for building natural language search.. Apache-2
+haystack (🥉19 · ⭐ 5.2K) - 用于构建自然语言搜索的端到端Python框架。Apache-2
- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 140 · 🔀 830 · 📥 15 · 📋 1.5K - 14% open · ⏱️ 25.08.2022):
@@ -2391,7 +2391,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install haystack
```
Kashgari (🥉19 · ⭐ 2.3K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2
+Kashgari (🥉19 · ⭐ 2.3K · 💀) - Kashgari是工业级的NLP迁移学习框架。Apache-2
- [GitHub](https://github.com/BrikerMan/Kashgari) (👨💻 21 · 🔀 440 · 📦 54 · 📋 370 - 11% open · ⏱️ 09.07.2021):
@@ -2403,7 +2403,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install kashgari-tf
```
fast-bert (🥉19 · ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2
+fast-bert (🥉19 · ⭐ 1.8K) - 用于基于BERT的NLP模型的简单易用工具库。Apache-2
- [GitHub](https://github.com/utterworks/fast-bert) (👨💻 36 · 🔀 330 · 📋 250 - 61% open · ⏱️ 25.08.2022):
@@ -2415,7 +2415,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install fast-bert
```
Sockeye (🥉19 · ⭐ 1.1K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+Sockeye (🥉19 · ⭐ 1.1K) - 序列到序列框架。Apache-2
- [GitHub](https://github.com/awslabs/sockeye) (👨💻 57 · 🔀 300 · 📥 15 · 📋 280 - 2% open · ⏱️ 25.08.2022):
@@ -2427,7 +2427,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install sockeye
```
gpt-2-simple (🥉18 · ⭐ 3K) - Python package to easily retrain OpenAI's GPT-2 text-.. ❗Unlicensed
+gpt-2-simple (🥉18 · ⭐ 3K) - 可轻松重新训练OpenAI的GPT-2文本模型的Python软件包。❗Unlicensed
- [GitHub](https://github.com/minimaxir/gpt-2-simple) (👨💻 21 · 🔀 600 · 📥 340 · 📋 250 - 61% open · ⏱️ 22.05.2022):
@@ -2439,7 +2439,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install gpt-2-simple
```
textacy (🥉18 · ⭐ 2K) - NLP, before and after spaCy. ❗Unlicensed
+textacy (🥉18 · ⭐ 2K) - spaCy之前和之后的NLP。❗Unlicensed
- [GitHub](https://github.com/chartbeat-labs/textacy) (👨💻 32 · 🔀 230 · 📋 250 - 11% open · ⏱️ 06.03.2022):
@@ -2455,7 +2455,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textacy
```
finetune (🥉18 · ⭐ 660) - Scikit-learn style model finetuning for NLP. MPL-2.0
+finetune (🥉18 · ⭐ 660) - 针对NLP的Scikit风格模型微调。MPL-2.0
- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 19 · 🔀 71 · 📦 9 · 📋 140 - 15% open · ⏱️ 16.06.2022):
@@ -2467,7 +2467,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install finetune
```
skift (🥉18 · ⭐ 230) - scikit-learn wrappers for Python fastText. MIT
+skift (🥉18 · ⭐ 230) - 适用于Python fastText的scikit-learn包装器。MIT
- [GitHub](https://github.com/shaypal5/skift) (👨💻 9 · 🔀 23 · 📦 12 · 📋 11 - 9% open · ⏱️ 07.06.2022):
@@ -2479,7 +2479,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install skift
```
DeepMatcher (🥉17 · ⭐ 440 · 💀) - Python package for performing Entity and Text Matching using.. BSD-3
+DeepMatcher (🥉17 · ⭐ 440 · 💀) - 用于实体和文本匹配的Python包。BSD-3
- [GitHub](https://github.com/anhaidgroup/deepmatcher) (👨💻 7 · 🔀 98 · 📦 21 · 📋 86 - 72% open · ⏱️ 13.06.2021):
@@ -2491,7 +2491,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install deepmatcher
```
Camphr (🥉16 · ⭐ 340 · 💤) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy
+Camphr (🥉16 · ⭐ 340 · 💤) - 适用于Transformers，Udify，ELmo等的spaCy插件。Apache-2 spacy
- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (👨💻 7 · 🔀 16 · 📋 28 - 7% open · ⏱️ 18.08.2021):
@@ -2503,7 +2503,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install camphr
```
textpipe (🥉16 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT
+textpipe (🥉16 · ⭐ 300 · 💀) - Textpipe：从文本中清理并提取元数据。MIT
- [GitHub](https://github.com/textpipe/textpipe) (👨💻 28 · 🔀 23 · 📦 8 · 📋 40 - 37% open · ⏱️ 09.06.2021):
@@ -2515,7 +2515,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install textpipe
```
NeuroNER (🥉15 · ⭐ 1.6K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
+NeuroNER (🥉15 · ⭐ 1.6K · 💀) - 使用神经网络的命名实体识别。MIT
- [GitHub](https://github.com/Franck-Dernoncourt/NeuroNER) (👨💻 7 · 🔀 460 · 📋 150 - 55% open · ⏱️ 02.10.2019):
@@ -2527,7 +2527,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install pyneuroner
```
Translate (🥉15 · ⭐ 760) - Translate - a PyTorch Language Library. BSD-3
+Translate (🥉15 · ⭐ 760) - Translate-PyTorch NLP库。BSD-3
- [GitHub](https://github.com/pytorch/translate) (👨💻 87 · 🔀 180 · 📋 38 - 28% open · ⏱️ 10.06.2022):
@@ -2539,7 +2539,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install pytorch-translate
```
NeuralQA (🥉15 · ⭐ 220 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
+NeuralQA (🥉15 · ⭐ 220 · 💀) - NeuralQA：用于对大型数据集进行问答构建。MIT
- [GitHub](https://github.com/victordibia/neuralqa) (👨💻 3 · 🔀 30 · 📦 4 · 📋 28 - 71% open · ⏱️ 16.12.2020):
@@ -2551,7 +2551,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install neuralqa
```
OpenNRE (🥉14 · ⭐ 3.8K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
+OpenNRE (🥉14 · ⭐ 3.8K) - 神经关系提取（NRE）的开源软件包。MIT
- [GitHub](https://github.com/thunlp/OpenNRE) (👨💻 10 · 🔀 950 · 📋 350 - 2% open · ⏱️ 06.04.2022):
@@ -2559,7 +2559,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
git clone https://github.com/thunlp/OpenNRE
```
TransferNLP (🥉14 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT
+TransferNLP (🥉14 · ⭐ 290 · 💀) - 用于可重复的实验的NLP库。MIT
- [GitHub](https://github.com/feedly/transfer-nlp) (👨💻 7 · 🔀 17 · 📋 23 - 13% open · ⏱️ 28.05.2020):
@@ -2571,7 +2571,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install transfer-nlp
```
ONNX-T5 (🥉14 · ⭐ 200 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
+ONNX-T5 (🥉14 · ⭐ 200 · 💀) - 文本摘要，翻译，情感分析，文本生成等实现。Apache-2
- [GitHub](https://github.com/abelriboulot/onnxt5) (👨💻 3 · 🔀 23 · 📦 1 · 📋 15 - 46% open · ⏱️ 28.01.2021):
@@ -2583,7 +2583,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install onnxt5
```
textvec (🥉14 · ⭐ 180) - Text vectorization tool to outperform TFIDF for classification tasks. MIT
+textvec (🥉14 · ⭐ 180) - 胜过TF-IDF文本向量化工具。MIT
- [GitHub](https://github.com/textvec/textvec) (👨💻 10 · 🔀 23 · 📦 4 · 📋 9 - 33% open · ⏱️ 05.07.2022):
@@ -2595,7 +2595,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install textvec
```
VizSeq (🥉13 · ⭐ 400) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+VizSeq (🥉13 · ⭐ 400) - 用于自然语言生成的分析工具包。MIT
- [GitHub](https://github.com/facebookresearch/vizseq) (👨💻 3 · 🔀 49 · 📦 6 · 📋 15 - 40% open · ⏱️ 20.07.2022):
@@ -2607,7 +2607,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install vizseq
```
Headliner (🥉11 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. ❗Unlicensed
+Headliner (🥉11 · ⭐ 230 · 💀) - 轻松训练和部署seq2seq模型。❗Unlicensed
- [GitHub](https://github.com/as-ideas/headliner) (👨💻 2 · 🔀 41 · 📦 3 · 📋 14 - 7% open · ⏱️ 14.02.2020):
@@ -2621,13 +2621,13 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
-## Image Data
+## 图像数据与CV
-
+
-_Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._
+_用于图像和视频处理，操纵和扩充的库，以及用于计算机视觉任务（例如面部识别，对象检测和图像分类）的库。_
-Pillow (🥇36 · ⭐ 10K · 📈) - The friendly PIL fork (Python Imaging Library). ❗️PIL
+Pillow (🥇36 · ⭐ 10K · 📈) - 友好的PIL分支（Python Imaging Library）。❗️PIL
- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 410 · 🔀 1.7K · 📦 820K · 📋 2.6K - 3% open · ⏱️ 25.08.2022):
@@ -2643,7 +2643,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge pillow
```
MoviePy (🥇34 · ⭐ 9.5K) - Video editing with Python. MIT
+MoviePy (🥇34 · ⭐ 9.5K) - 使用Python进行视频编辑。MIT
- [GitHub](https://github.com/Zulko/moviepy) (👨💻 150 · 🔀 1.2K · 📦 18K · 📋 1.2K - 24% open · ⏱️ 01.06.2022):
@@ -2659,7 +2659,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge moviepy
```
imageio (🥇33 · ⭐ 1.1K) - Python library for reading and writing image data. BSD-2
+imageio (🥇33 · ⭐ 1.1K) - 用于读取和写入图像数据的Python库。BSD-2
- [GitHub](https://github.com/imageio/imageio) (👨💻 91 · 🔀 220 · 📥 360 · 📦 67K · 📋 470 - 12% open · ⏱️ 24.08.2022):
@@ -2675,7 +2675,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imageio
```
imgaug (🥇32 · ⭐ 13K · 💀) - Image augmentation for machine learning experiments. MIT
+imgaug (🥇32 · ⭐ 13K · 💀) - 用于机器学习实验的图像增强。MIT
- [GitHub](https://github.com/aleju/imgaug) (👨💻 36 · 🔀 2.3K · 📦 11K · 📋 490 - 55% open · ⏱️ 01.06.2020):
@@ -2691,7 +2691,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imgaug
```
Albumentations (🥇32 · ⭐ 11K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
+Albumentations (🥇32 · ⭐ 11K) - 快速的图像增强库和易于使用的包装器。MIT
- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 110 · 🔀 1.4K · 📦 9.1K · 📋 660 - 41% open · ⏱️ 24.08.2022):
@@ -2707,7 +2707,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge albumentations
```
Kornia (🥇32 · ⭐ 7K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2
+Kornia (🥇32 · ⭐ 7K) - PyTorch的开源可微分计算机视觉库。Apache-2
- [GitHub](https://github.com/kornia/kornia) (👨💻 170 · 🔀 680 · 📥 430 · 📦 1.7K · 📋 600 - 26% open · ⏱️ 24.08.2022):
@@ -2719,7 +2719,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install kornia
```
scikit-image (🥇32 · ⭐ 5K) - Image processing in Python. ❗Unlicensed
+scikit-image (🥇32 · ⭐ 5K) - Python中的图像处理。❗Unlicensed
- [GitHub](https://github.com/scikit-image/scikit-image) (👨💻 560 · 🔀 2K · 📦 110K · 📋 2.3K - 19% open · ⏱️ 23.08.2022):
@@ -2735,7 +2735,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge scikit-image
```
Wand (🥇32 · ⭐ 1.2K) - The ctypes-based simple ImageMagick binding for Python. MIT
+Wand (🥇32 · ⭐ 1.2K) - 用于Python的基于ctypes的简单ImageMagick接口。MIT
- [GitHub](https://github.com/emcconville/wand) (👨💻 100 · 🔀 190 · 📥 8.5K · 📦 12K · 📋 380 - 4% open · ⏱️ 22.08.2022):
@@ -2747,7 +2747,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install wand
```
PyTorch Image Models (🥈31 · ⭐ 21K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
+PyTorch Image Models (🥈31 · ⭐ 21K) - PyTorch图像模型，脚本，预训练权重。Apache-2
- [GitHub](https://github.com/rwightman/pytorch-image-models) (👨💻 79 · 🔀 3.3K · 📥 1.7M · 📦 4.3K · 📋 570 - 9% open · ⏱️ 24.08.2022):
@@ -2755,7 +2755,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
git clone https://github.com/rwightman/pytorch-image-models
```
GluonCV (🥈29 · ⭐ 5.3K) - Gluon CV Toolkit. Apache-2
+GluonCV (🥈29 · ⭐ 5.3K) - Gluon CV工具包。Apache-2
- [GitHub](https://github.com/dmlc/gluon-cv) (👨💻 120 · 🔀 1.2K · 📦 840 · 📋 810 - 5% open · ⏱️ 11.08.2022):
@@ -2767,7 +2767,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install gluoncv
```
ImageHash (🥈29 · ⭐ 2.5K · 💤) - A Python Perceptual Image Hashing Module. BSD-2
+ImageHash (🥈29 · ⭐ 2.5K · 💤) - Python感知图像哈希模块。BSD-2
- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 20 · 🔀 300 · 📦 5.8K · 📋 110 - 13% open · ⏱️ 07.09.2021):
@@ -2783,7 +2783,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imagehash
```
imutils (🥈28 · ⭐ 4.2K · 💤) - A series of convenience functions to make basic image processing.. MIT
+imutils (🥈28 · ⭐ 4.2K · 💤) - 图像处理库。MIT
- [GitHub](https://github.com/PyImageSearch/imutils) (👨💻 21 · 🔀 980 · 📦 27K · 📋 160 - 53% open · ⏱️ 27.01.2022):
@@ -2799,7 +2799,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imutils
```
MMDetection (🥈27 · ⭐ 21K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
+MMDetection (🥈27 · ⭐ 21K) - OpenMMLab检测工具箱。Apache-2
- [GitHub](https://github.com/open-mmlab/mmdetection) (👨💻 350 · 🔀 6.9K · 📦 550 · 📋 6.2K - 9% open · ⏱️ 28.07.2022):
@@ -2807,7 +2807,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
git clone https://github.com/open-mmlab/mmdetection
```
torchvision (🥈27 · ⭐ 12K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+torchvision (🥈27 · ⭐ 12K) - 计算机视觉的数据集，转换和模型。BSD-3
- [GitHub](https://github.com/pytorch/vision) (👨💻 500 · 🔀 6K · 📥 11K · 📋 2.5K - 23% open · ⏱️ 25.08.2022):
@@ -2823,7 +2823,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge torchvision
```
glfw (🥈27 · ⭐ 9.5K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib
+glfw (🥈27 · ⭐ 9.5K) - 一个用于OpenGL，OpenGL ES，Vulkan，窗口和输入的多平台库。❗️Zlib
- [GitHub](https://github.com/glfw/glfw) (👨💻 180 · 🔀 3.5K · 📥 2.9M · 📦 1 · 📋 1.6K - 25% open · ⏱️ 22.08.2022):
@@ -2839,7 +2839,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge glfw
```
InsightFace (🥈26 · ⭐ 12K) - Face Analysis Project on MXNet and PyTorch. MIT
+InsightFace (🥈26 · ⭐ 12K) - MXNet和PyTorch上的人脸分析项目。MIT
- [GitHub](https://github.com/deepinsight/insightface) (👨💻 46 · 🔀 3.9K · 📦 180 · 📋 2K - 55% open · ⏱️ 19.08.2022):
@@ -2851,7 +2851,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install insightface
```
imageai (🥈26 · ⭐ 7.2K · 💀) - A python library built to empower developers to build applications.. MIT
+imageai (🥈26 · ⭐ 7.2K · 💀) - python库旨在使开发人员能够构建应用程序。MIT
- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨💻 15 · 🔀 1.9K · 📥 780K · 📦 1.2K · 📋 690 - 37% open · ⏱️ 08.05.2021):
@@ -2863,7 +2863,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install imageai
```
Face Recognition (🥈25 · ⭐ 46K) - The world's simplest facial recognition api for.. MIT
+Face Recognition (🥈25 · ⭐ 46K) - 简单的面部识别API。MIT
- [GitHub](https://github.com/ageitgey/face_recognition) (👨💻 54 · 🔀 12K · 📥 470 · 📋 1.2K - 53% open · ⏱️ 10.06.2022):
@@ -2875,7 +2875,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install face_recognition
```
detectron2 (🥈25 · ⭐ 22K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2
+detectron2 (🥈25 · ⭐ 22K) - Detectron2是Facebook FAIR的高级目标检测平台。Apache-2
- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 210 · 🔀 5.7K · 📦 710 · 📋 3.1K - 7% open · ⏱️ 24.08.2022):
@@ -2887,7 +2887,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge detectron2
```
vit-pytorch (🥈25 · ⭐ 11K) - Implementation of Vision Transformer, a simple way to.. MIT
+vit-pytorch (🥈25 · ⭐ 11K) - 实现视觉transformer，一种简单的方法。MIT
- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 15 · 🔀 1.8K · 📦 140 · 📋 190 - 47% open · ⏱️ 27.07.2022):
@@ -2899,7 +2899,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install vit-pytorch
```
facenet-pytorch (🥈25 · ⭐ 3K · 💤) - Pretrained Pytorch face detection (MTCNN) and.. MIT
+facenet-pytorch (🥈25 · ⭐ 3K · 💤) - 预训练的Pytorch人脸检测（MTCNN）和识别。MIT
- [GitHub](https://github.com/timesler/facenet-pytorch) (👨💻 14 · 🔀 650 · 📥 390K · 📦 850 · 📋 150 - 39% open · ⏱️ 13.12.2021):
@@ -2911,7 +2911,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install facenet-pytorch
```
opencv-python (🥈25 · ⭐ 2.9K · 📈) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+opencv-python (🥈25 · ⭐ 2.9K · 📈) - 自动化的CI工具链可生成预编译的opencv-python。MIT
- [GitHub](https://github.com/opencv/opencv-python) (👨💻 39 · 🔀 580 · 📋 570 - 7% open · ⏱️ 22.08.2022):
@@ -2923,7 +2923,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install opencv-python
```
chainercv (🥈25 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
+chainercv (🥈25 · ⭐ 1.5K · 💀) - ChainerCV：一个用于计算机视觉深度学习的库。MIT
- [GitHub](https://github.com/chainer/chainercv) (👨💻 39 · 🔀 300 · 📦 300 · 📋 200 - 18% open · ⏱️ 07.01.2020):
@@ -2935,7 +2935,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install chainercv
```
mahotas (🥈25 · ⭐ 770) - Computer Vision in Python. ❗Unlicensed
+mahotas (🥈25 · ⭐ 770) - Python中的计算机视觉。❗Unlicensed
- [GitHub](https://github.com/luispedro/mahotas) (👨💻 32 · 🔀 140 · 📦 870 · 📋 79 - 20% open · ⏱️ 28.06.2022):
@@ -2951,7 +2951,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge mahotas
```
vidgear (🥉24 · ⭐ 2.4K) - High-performance cross-platform Video Processing Python framework.. Apache-2
+vidgear (🥉24 · ⭐ 2.4K) - 高性能跨平台视频处理Python框架。Apache-2
- [GitHub](https://github.com/abhiTronix/vidgear) (👨💻 13 · 🔀 190 · 📥 640 · 📦 230 · 📋 230 - 1% open · ⏱️ 06.07.2022):
@@ -2963,7 +2963,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install vidgear
```
PyTorch3D (🥉23 · ⭐ 6.4K) - PyTorch3D is FAIR's library of reusable components for.. ❗Unlicensed
+PyTorch3D (🥉23 · ⭐ 6.4K) - PyTorch3D是FAIR的深度学习可重用组件库。❗Unlicensed
- [GitHub](https://github.com/facebookresearch/pytorch3d) (👨💻 96 · 🔀 940 · 📦 270 · 📋 1.1K - 7% open · ⏱️ 25.08.2022):
@@ -2979,7 +2979,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c pytorch3d pytorch3d
```
Face Alignment (🥉23 · ⭐ 5.8K · 💤) - 2D and 3D Face alignment library build using pytorch. BSD-3
+Face Alignment (🥉23 · ⭐ 5.8K · 💤) - 使用pytorch构建2D和3D人脸对齐库。BSD-3
- [GitHub](https://github.com/1adrianb/face-alignment) (👨💻 23 · 🔀 1.2K · 📋 280 - 21% open · ⏱️ 04.08.2021):
@@ -2991,7 +2991,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install face-alignment
```
Augmentor (🥉23 · ⭐ 4.8K) - Image augmentation library in Python for machine learning. MIT
+Augmentor (🥉23 · ⭐ 4.8K) - Python中的图像增强库，用于机器学习。MIT
- [GitHub](https://github.com/mdbloice/Augmentor) (👨💻 22 · 🔀 820 · 📦 480 · 📋 190 - 61% open · ⏱️ 24.05.2022):
@@ -3003,7 +3003,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install Augmentor
```
mtcnn (🥉23 · ⭐ 1.8K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
+mtcnn (🥉23 · ⭐ 1.8K · 💀) - TensorFlow的MTCNN人脸检测实现。MIT
- [GitHub](https://github.com/ipazc/mtcnn) (👨💻 15 · 🔀 460 · 📦 2.6K · 📋 100 - 62% open · ⏱️ 09.07.2021):
@@ -3015,7 +3015,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install mtcnn
```
lightly (🥉23 · ⭐ 1.7K) - A python library for self-supervised learning on images. MIT
+lightly (🥉23 · ⭐ 1.7K) - 一个用于对图像进行自监督学习的python库。MIT
- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 19 · 🔀 140 · 📦 46 · 📋 330 - 20% open · ⏱️ 25.08.2022):
@@ -3027,7 +3027,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install lightly
```
Image Deduplicator (🥉22 · ⭐ 4.1K · 💀) - Finding duplicate images made easy!. Apache-2
+Image Deduplicator (🥉22 · ⭐ 4.1K · 💀) - 图像查重。Apache-2
- [GitHub](https://github.com/idealo/imagededup) (👨💻 10 · 🔀 370 · 📦 26 · 📋 93 - 36% open · ⏱️ 23.11.2020):
@@ -3039,7 +3039,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install imagededup
```
pyvips (🥉22 · ⭐ 440) - python binding for libvips using cffi. MIT
+pyvips (🥉22 · ⭐ 440) - 使用cffi的libvips的python接口。MIT
- [GitHub](https://github.com/libvips/pyvips) (👨💻 14 · 🔀 40 · 📦 350 · 📋 300 - 36% open · ⏱️ 13.08.2022):
@@ -3055,7 +3055,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge pyvips
```
PaddleDetection (🥉21 · ⭐ 8.3K) - Object detection and instance segmentation toolkit.. Apache-2
+PaddleDetection (🥉21 · ⭐ 8.3K) - 对象检测和实例分割工具箱。Apache-2
- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 100 · 🔀 2.1K · 📦 30 · 📋 3.8K - 20% open · ⏱️ 16.08.2022):
@@ -3075,7 +3075,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install segmentation_models
```
Image Super-Resolution (🥉21 · ⭐ 3.8K · 💀) - Super-scale your images and run experiments with.. Apache-2
+Image Super-Resolution (🥉21 · ⭐ 3.8K · 💀) - 图像超精度变换。Apache-2
- [GitHub](https://github.com/idealo/image-super-resolution) (👨💻 10 · 🔀 630 · 📦 97 · 📋 200 - 45% open · ⏱️ 02.06.2021):
@@ -3091,7 +3091,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
docker pull idealo/image-super-resolution-gpu
```
Norfair (🥉21 · ⭐ 1.6K) - Lightweight Python library for adding real-time 2D object tracking to.. BSD-3
+Norfair (🥉21 · ⭐ 1.6K) - 轻量级Python库，用于向其中添加实时2D对象跟踪。BSD-3
- [GitHub](https://github.com/tryolabs/norfair) (👨💻 18 · 🔀 150 · 📥 200 · 📋 75 - 16% open · ⏱️ 24.08.2022):
@@ -3103,7 +3103,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install norfair
```
CellProfiler (🥉21 · ⭐ 700) - An open-source application for biological image analysis. ❗Unlicensed
+CellProfiler (🥉21 · ⭐ 700) - 生物图像分析的开源应用程序。❗Unlicensed
- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 130 · 🔀 320 · 📥 3.4K · 📦 9 · 📋 3.1K - 5% open · ⏱️ 17.08.2022):
@@ -3115,7 +3115,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install cellprofiler
```
MMF (🥉20 · ⭐ 5K) - A modular framework for vision & language multimodal research from.. BSD-3
+MMF (🥉20 · ⭐ 5K) - 来自视觉和语言多模态研究的模块化框架。BSD-3
- [GitHub](https://github.com/facebookresearch/mmf) (👨💻 100 · 🔀 840 · 📦 12 · 📋 620 - 30% open · ⏱️ 11.08.2022):
@@ -3127,7 +3127,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install mmf
```
tensorflow-graphics (🥉20 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+tensorflow-graphics (🥉20 · ⭐ 2.7K) - TensorFlow图神经网络：可微分的图layerApache-2
- [GitHub](https://github.com/tensorflow/graphics) (👨💻 36 · 🔀 340 · 📋 160 - 45% open · ⏱️ 04.04.2022):
@@ -3139,7 +3139,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install tensorflow-graphics
```
nude.py (🥉20 · ⭐ 860 · 💀) - Nudity detection with Python. MIT
+nude.py (🥉20 · ⭐ 860 · 💀) - 使用Python进行裸露检测。MIT
- [GitHub](https://github.com/hhatto/nude.py) (👨💻 12 · 🔀 130 · 📦 2.6K · 📋 10 - 70% open · ⏱️ 23.11.2020):
@@ -3151,7 +3151,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install nudepy
```
Luminoth (🥉19 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3
+Luminoth (🥉19 · ⭐ 2.4K · 💀) - 用于计算机视觉的深度学习工具包。BSD-3
- [GitHub](https://github.com/tryolabs/luminoth) (👨💻 15 · 🔀 400 · 📥 13K · 📦 41 · 📋 180 - 28% open · ⏱️ 07.01.2020):
@@ -3163,7 +3163,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install luminoth
```
Classy Vision (🥉19 · ⭐ 1.5K) - An end-to-end PyTorch framework for image and video.. MIT
+Classy Vision (🥉19 · ⭐ 1.5K) - 用于图像和视频的端到端PyTorch框架。MIT
- [GitHub](https://github.com/facebookresearch/ClassyVision) (👨💻 76 · 🔀 260 · 📋 76 - 17% open · ⏱️ 03.08.2022):
@@ -3179,7 +3179,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge classy_vision
```
Caer (🥉18 · ⭐ 630 · 💤) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
+Caer (🥉18 · ⭐ 630 · 💤) - 轻量级的计算机视觉库。MIT
- [GitHub](https://github.com/jasmcaus/caer) (👨💻 8 · 🔀 74 · 📥 19 · 📋 15 - 13% open · ⏱️ 13.10.2021):
@@ -3199,7 +3199,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
git clone https://github.com/facebookresearch/detr
```
Pillow-SIMD (🥉17 · ⭐ 1.9K · 💤) - The friendly PIL fork. ❗️PIL
+Pillow-SIMD (🥉17 · ⭐ 1.9K · 💤) - 友好的PIL fork。❗️PIL
- [GitHub](https://github.com/uploadcare/pillow-simd) (👨💻 380 · 🔀 74 · 📋 77 - 14% open · ⏱️ 17.01.2022):
@@ -3211,7 +3211,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install pillow-simd
```
PySlowFast (🥉16 · ⭐ 5K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+PySlowFast (🥉16 · ⭐ 5K) - PySlowFast：来自FAIR的视频理解代码库。Apache-2
- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 28 · 🔀 960 · 📦 10 · 📋 550 - 52% open · ⏱️ 25.08.2022):
@@ -3219,7 +3219,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
git clone https://github.com/facebookresearch/SlowFast
```
image-match (🥉16 · ⭐ 2.8K · 💤) - Quickly search over billions of images. ❗Unlicensed
+image-match (🥉16 · ⭐ 2.8K · 💤) - 快速搜索数十亿张图像。❗Unlicensed
- [GitHub](https://github.com/ProvenanceLabs/image-match) (👨💻 19 · 🔀 380 · 📋 100 - 53% open · ⏱️ 21.09.2021):
@@ -3231,7 +3231,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install image_match
```
pycls (🥉15 · ⭐ 2K) - Codebase for Image Classification Research, written in PyTorch. MIT
+pycls (🥉15 · ⭐ 2K) - 用PyTorch编写的图像分类研究代码库。MIT
- [GitHub](https://github.com/facebookresearch/pycls) (👨💻 17 · 🔀 230 · 📦 6 · 📋 78 - 28% open · ⏱️ 12.07.2022):
@@ -3239,7 +3239,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
git clone https://github.com/facebookresearch/pycls
```
Torch Points 3D (🥉14 · ⭐ 93 · 💤) - Pytorch framework for doing deep learning on point.. BSD-3
+Torch Points 3D (🥉14 · ⭐ 93 · 💤) - 用于在点云上进行深度学习的Pytorch框架。BSD-3
- [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (👨💻 29 · 🔀 19 · ⏱️ 10.12.2021):
@@ -3253,13 +3253,13 @@ _Libraries for image & video processing, manipulation, and augmentation as well
-## Graph Data
+## 图数据处理
-
+
-_Libraries for graph processing, clustering, embedding, and machine learning tasks._
+_用于图数据处理，聚类，图嵌入和机器学习任务的库。_
-networkx (🥇32 · ⭐ 11K) - Network Analysis in Python. ❗Unlicensed
+networkx (🥇32 · ⭐ 11K) - Python中的网络分析。❗Unlicensed
- [GitHub](https://github.com/networkx/networkx) (👨💻 610 · 🔀 2.6K · 📥 60 · 📦 120K · 📋 2.8K - 5% open · ⏱️ 23.08.2022):
@@ -3275,7 +3275,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge networkx
```
dgl (🥇29 · ⭐ 10K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2
+dgl (🥇29 · ⭐ 10K) - 在现有基础之上构建的Python软件包，用于简化图上的深度学习。Apache-2
- [GitHub](https://github.com/dmlc/dgl) (👨💻 230 · 🔀 2.4K · 📦 30 · 📋 1.7K - 13% open · ⏱️ 25.08.2022):
@@ -3287,7 +3287,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install dgl
```
PyTorch Geometric (🥇28 · ⭐ 15K) - Geometric Deep Learning Extension Library for PyTorch. MIT
+PyTorch Geometric (🥇28 · ⭐ 15K) - PyTorch的几何深度学习扩展库。MIT
- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 300 · 🔀 2.7K · 📋 2.6K - 35% open · ⏱️ 25.08.2022):
@@ -3299,7 +3299,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install torch-geometric
```
ogb (🥇28 · ⭐ 1.4K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
+ogb (🥇28 · ⭐ 1.4K) - 用于图机器学习的基准数据集，数据加载器和评估器。MIT
- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 23 · 🔀 310 · 📦 380 · 📋 230 - 0% open · ⏱️ 22.08.2022):
@@ -3311,7 +3311,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install ogb
```
igraph (🥈27 · ⭐ 1K) - Python interface for igraph. ❗️GPL-2.0
+igraph (🥈27 · ⭐ 1K) - Igraph的Python接口。❗️GPL-2.0
- [GitHub](https://github.com/igraph/python-igraph) (👨💻 61 · 🔀 220 · 📥 460K · 📦 850 · 📋 410 - 9% open · ⏱️ 24.08.2022):
@@ -3327,7 +3327,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge igraph
```
StellarGraph (🥈25 · ⭐ 2.5K · 💤) - StellarGraph - Machine Learning on Graphs. Apache-2
+StellarGraph (🥈25 · ⭐ 2.5K · 💤) - StellarGraph-图机器学习库。Apache-2
- [GitHub](https://github.com/stellargraph/stellargraph) (👨💻 36 · 🔀 380 · 📦 160 · 📋 1K - 27% open · ⏱️ 29.10.2021):
@@ -3339,7 +3339,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install stellargraph
```
Spektral (🥈25 · ⭐ 2.1K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
+Spektral (🥈25 · ⭐ 2.1K) - 使用Keras和Tensorflow 2的图神经网络。MIT
- [GitHub](https://github.com/danielegrattarola/spektral) (👨💻 24 · 🔀 300 · 📦 140 · 📋 230 - 16% open · ⏱️ 22.07.2022):
@@ -3351,7 +3351,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install spektral
```
Karate Club (🥈23 · ⭐ 1.7K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0
+Karate Club (🥈23 · ⭐ 1.7K) - 面向API的开源Python框架。❗️GPL-3.0
- [GitHub](https://github.com/benedekrozemberczki/karateclub) (👨💻 15 · 🔀 210 · 📦 100 · ⏱️ 20.08.2022):
@@ -3375,7 +3375,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install torch-geometric-temporal
```
AmpliGraph (🥈22 · ⭐ 1.8K · 💀) - Python library for Representation Learning on Knowledge.. Apache-2
+AmpliGraph (🥈22 · ⭐ 1.8K · 💀) - 用于知识表示学习的Python库。Apache-2
- [GitHub](https://github.com/Accenture/AmpliGraph) (👨💻 19 · 🔀 210 · 📦 25 · 📋 210 - 12% open · ⏱️ 25.05.2021):
@@ -3387,7 +3387,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install ampligraph
```
Paddle Graph Learning (🥈22 · ⭐ 1.4K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
+Paddle Graph Learning (🥈22 · ⭐ 1.4K) - paddle图机器学习。Apache-2
- [GitHub](https://github.com/PaddlePaddle/PGL) (👨💻 28 · 🔀 270 · 📦 33 · 📋 150 - 35% open · ⏱️ 22.08.2022):
@@ -3399,7 +3399,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install pgl
```
pygal (🥈21 · ⭐ 2.5K · 💤) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0
+pygal (🥈21 · ⭐ 2.5K · 💤) - PYthon svg GrAph绘图库。❗️LGPL-3.0
- [GitHub](https://github.com/Kozea/pygal) (👨💻 71 · 🔀 390 · 📋 400 - 39% open · ⏱️ 24.11.2021):
@@ -3415,7 +3415,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge pygal
```
PyKEEN (🥈21 · ⭐ 960) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyKEEN (🥈21 · ⭐ 960) - 一个用于学习和评估知识图嵌入的Python库。MIT
- [GitHub](https://github.com/pykeen/pykeen) (👨💻 31 · 🔀 130 · 📥 140 · 📋 420 - 13% open · ⏱️ 25.08.2022):
@@ -3427,7 +3427,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install pykeen
```
Node2Vec (🥈21 · ⭐ 950) - Implementation of the node2vec algorithm. MIT
+Node2Vec (🥈21 · ⭐ 950) - node2vec算法的实现。MIT
- [GitHub](https://github.com/eliorc/node2vec) (👨💻 11 · 🔀 200 · ⏱️ 01.08.2022):
@@ -3443,7 +3443,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge node2vec
```
torch-cluster (🥈21 · ⭐ 560) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+torch-cluster (🥈21 · ⭐ 560) - 优化图聚类的PyTorch扩展库MIT
- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 25 · 🔀 100 · 📋 110 - 17% open · ⏱️ 22.08.2022):
@@ -3455,7 +3455,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install torch-cluster
```
PyTorch-BigGraph (🥉19 · ⭐ 3.1K) - Generate embeddings from large-scale graph-structured.. ❗Unlicensed
+PyTorch-BigGraph (🥉19 · ⭐ 3.1K) - 从大型图网络结构生成embedding嵌入。❗Unlicensed
- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨💻 27 · 🔀 410 · 📥 140 · 📋 190 - 26% open · ⏱️ 05.07.2022):
@@ -3467,7 +3467,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install torchbiggraph
```
DeepWalk (🥉19 · ⭐ 2.5K · 💀) - DeepWalk - Deep Learning for Graphs. ❗Unlicensed
+DeepWalk (🥉19 · ⭐ 2.5K · 💀) - DeepWalk-图的深度学习。❗Unlicensed
- [GitHub](https://github.com/phanein/deepwalk) (👨💻 10 · 🔀 810 · 📦 56 · 📋 110 - 24% open · ⏱️ 02.04.2020):
@@ -3479,7 +3479,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install deepwalk
```
kglib (🥉17 · ⭐ 520) - Grakn Knowledge Graph Library (ML R&D). Apache-2
+kglib (🥉17 · ⭐ 520) - Grakn知识图库（ML R＆D）。Apache-2
- [GitHub](https://github.com/vaticle/typedb-ml) (👨💻 9 · 🔀 88 · 📥 210 · 📋 60 - 16% open · ⏱️ 01.08.2022):
@@ -3491,7 +3491,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install grakn-kglib
```
GraphEmbedding (🥉16 · ⭐ 3K) - Implementation and experiments of graph embedding algorithms. MIT
+