Popular GitHub Repositories for 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

An Engine-Agnostic Deep Learning Framework in Java

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

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

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

Tensors and differentiable operations (like TensorFlow) in Rust

A Machine Learning framework from scratch in Pure Mojo ?

large population models

A deep learning framework created from scratch with Python and NumPy

Drop-in autodiff for NumPy.

A working machine learning framework in pure Mojo ?

A deep learning framework built on an autograd engine with high level abstractions and low level control.

NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)

Implementation of Karpathy's micrograd in Mojo :fire:

A Deep Learning framework with very few dependencies, Written in Rust

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Google AI Princeton control framework