Stars
OCR, layout analysis, reading order, table recognition in 90+ languages
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-s…
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
code for cvpr2020 "4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras"
yysijie / st-gcn
Forked from open-mmlab/mmskeletonSpatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
A High-Performance Data Science Toolkit for the Earth Sciences
Predicting the weather based on past data and checking the bias
Python solutions to exercises and tests at http://codility.com/
Collection of NLP model explanations and accompanying analysis tools
inotify-tools is a C library and a set of command-line programs providing a simple interface to inotify.
A python library for user-friendly forecasting and anomaly detection on time series.
Pytorch implementation of RetinaNet object detection.
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Image augmentation library in Python for machine learning.
ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos
This is a novel and easy method for annotation uncertainties.
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
The Pytorch implemention of Deepfake Detection based on Faceforensics++
ICPR 2020: Facial Expression Recognition using Residual Masking Network
End-to-End Object Detection with Transformers