The worst autograd library.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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.

A Machine Learning framework from scratch in Pure Mojo 🔥

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

The Unified AI Framework

C++ Implementation of PyTorch Tutorials for Everyone

Automatic differentiation library for Go

Deep Learning Framework Written in Rust

A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.

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

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

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

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

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

toydl: toy deep learning algorithms implementation, backend with self implement toy torch

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

NumPy Neural Network framework

An autograd engine built for my understanding