Pennylane alternatives for AI agents.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Deep Learning for humans

🐍 Geometric Computer Vision Library for Spatial AI

A C++ standalone library for machine learning

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Supercharge Your Model Training

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

JAX-based neural network library

On-device AI across mobile, embedded and edge for PyTorch

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

An Open Source Machine Learning Framework for Everyone

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

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）

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.