Wavegrad alternatives for AI agents.

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

Deep Learning for humans

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🐍 Geometric Computer Vision Library for Spatial AI

Deep universal probabilistic programming with Python and PyTorch

ModelScope: bring the notion of Model-as-a-Service to life.

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.

The fastai deep learning library

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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.