A python utility for downloading Common Crawl data
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Updated
Jun 8, 2023 - Python
A python utility for downloading Common Crawl data
Yorùbá language training text for NLP, ASR and TTS tasks
A suite of tools for easy image tagging. Focused on LoRA training dataset creation and preparation
Dataset for training EEG IC classifiers.
Retrain the yolo3 model with TensorFlow and your own Dataset
Tiny DSL to generate training dataset for various NLU engines
Simple tool to manually label images in disctinct categories.
a tool used to translate data from brat to crf trainning data set
A simple and free-from-overcomplications implementation of artificial neural networks ("ANN") using only Python and NumPy.
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
Face Detection attendance system. This project is presented as Main project by me in my B. Tech Final year. We made this using Python with OpenCV library's HOG algorithm.
A trainer to ease the training of Yolov5 models. You just need the dataset, then you're good to go on one command.
Model can be trained and exported using this code
Py script to take a base resnet50 model and train for image recognition confidence across 7 animal classes
Algoritmo de entrenamiento básico a neurona artificial
Generates training Data for financial Neural Networks based on S&P500 listed Stocks.
This is a Python-based web scraping and data analysis application built with Streamlit. It allows users to scrape data from websites using sitemap URLs, export the scraped data to CSV or JSON, analyze the data, and reset the database.
Implementation of Naive Bayes from scratch using Python
In this project, I have used Nvidia's CNN model to mimic human driver's behavior using a simulator.
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