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》)

A C++ standalone library for machine learning

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

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

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.

C++ Implementation of PyTorch Tutorials for Everyone

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

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

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Owl - OCaml Scientific Computing @ https://ocaml.xyz

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

Deep learning with spiking neural networks (SNNs) in PyTorch.

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

R Interface to Torch

Tensors and differentiable operations (like TensorFlow) in Rust

A Machine Learning framework from scratch in Pure Mojo 🔥

Image registration laboratory for 2D and 3D image data