autograd

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

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.

large population models

R Interface to Torch

Tensors and differentiable operations (like TensorFlow) in Rust