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. Train a quantum computer the same way as a neural network.

C++ Implementation of PyTorch Tutorials for Everyone

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

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

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

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

Image registration laboratory for 2D and 3D image data