Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

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

Tensors and differentiable operations (like TensorFlow) in Rust

l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

N-dimensional matrix class for Rust

A Rust Library for High-Performance Tensor Exchange with Python

Simplistic API for deep learning tensor operations

A neural network, and tensor dynamic automatic differentiation implementation for Rust.

DLPack safe Rust binding

Rust accelerated contraction ordering primitives for tensor networks and einsums

DEPRECATED: this repo has been moved into https://github.com/dmlc/tvm/blob/master/rust

An animal can do training and inference every day of its existence until the day of its death. A forward pass is all you need.

Automatic differentiation for tensor operations

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

Tensor library in Rust.

Vectorized N-dimensional numerical arrays. Tensor / Nd Array library. Implements matrix multiplications and convolutions/cross-correlations.

This is a rust implementation of tensorflow obviously it's not as advanced but it gets the job done 😅

Rust ML Framework designed for learning purposes and building my AI engines named Maiden Engine

A library that allow for efficient use of multidimensional arrays, with CUDA, ROCm, OpenCL, and WebGPU acceleration.