autograd

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Efficiently computes derivatives of NumPy code.

A C++ standalone library for machine learning

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

An Engine-Agnostic Deep Learning Framework in Java

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

JAX - A curated list of resources https://github.com/google/jax

C++ Implementation of PyTorch Tutorials for Everyone

Deep learning in Rust, with shape checked tensors and neural networks

CPU-first, eager-execution tensor/autograd runtime and LLM inference engine written in pure Zig