🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Command-line program to download videos from YouTube.com and other video sites

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

🏡 Open source home automation that puts local control and privacy first.

The official gpt4free repository | various collection of powerful language models

scikit-learn: machine learning in Python

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

💫 Industrial-strength Natural Language Processing (NLP) in Python

⚡ A Fast, Extensible Progress Bar for Python and CLI

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Code for the paper "Language Models are Unsupervised Multitask Learners"

Graph Neural Network Library for PyTorch

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

State-of-the-Art Text Embeddings

Network Analysis in Python

End-to-End Object Detection with Transformers

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Free (as in freedom) open source clone of the Age of Empires II engine 🚀

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

A resource for learning about Machine learning & Deep Learning

Uniform Manifold Approximation and Projection

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO