Tensors and Dynamic neural networks in Python with strong GPU acceleration

Deep Learning for humans

🐍 Geometric Computer Vision Library for Spatial AI

An Open Source Machine Learning Framework for Everyone

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

A WebGL accelerated JavaScript library for training and deploying ML models.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Deepfakes Software For All

We write your reusable computer vision tools. 💜

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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