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

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.

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

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

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

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

A working machine learning framework in pure Mojo ?

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux