Discover the Best Open-Source Autograd Projects Sorted by Stars

Tensors and Dynamic neural networks in Python with strong GPU acceleration

The Unified AI Framework

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 differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

C++ Implementation of PyTorch Tutorials for Everyone

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

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 @ http://ocaml.xyz

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

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.

Tensors and differentiable operations (like TensorFlow) in Rust

R Interface to Torch

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.