Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Deep learning in Rust, with shape checked tensors and neural networks

Autodifferentiation package in Rust.

Automatic panorama stitching with automatic camera calibration/distortion estimation

🌲 Ahead-of-time Static Macro-gen Automatic Differentiation. A little bit like Jax. Now in Beta

A tiny autodiff library for learning

Small scalar autograd engine, inspired from Karpathy's micrograd, with some additional features, such as more activation functions, optimizers and loss criterions.

rsdiff aims to be a complete auto differentiation system written in Rust.

Iterative optimization library

crates.io: Differentiable expression templates in Rust.

Automatic differentiation in Rust for educational purposes. Autograd / tinygrad / micrograd / gradients.

Lightweight visualizer for dynamic computation graph creation in modern autodiff engine

Mabor is a cutting-edge deep learning framework built for flexibility, efficiency, and portability—without compromise.

Rust port of Karpathy's micrograd & associated stuff.