Neural Networks

ort [ crate · repo · docs ]

A safe Rust wrapper for ONNX Runtime 1.28 - Optimize and accelerate machine learning inference & training

candle-core [ crate · repo · docs ]

Minimalist ML framework with CUDA acceleration and quantization support

tch [ crate · repo · docs ]

Rust wrappers for the PyTorch C++ api (libtorch).

burn [ crate · repo · docs ]

Flexible and Comprehensive Deep Learning Framework in Rust

tract [ crate · repo · docs ]

Tiny, no-nonsense, self contained, TensorFlow and ONNX inference

tensorflow [ crate · repo · docs ] archived

Rust language bindings for TensorFlow.

autograd [ crate · repo · docs ]

Tensors and differentiable operations in Rust

rusty-machine [ crate · repo · docs ] archived

A machine learning library.

tflite [ crate · repo · docs ]

Rust bindings for TensorFlow Lite

dfdx [ crate · repo · docs ]

Ergonomic auto differentiation in Rust, with pytorch like apis.

luminal [ crate · repo · docs ]

Deep learning at the speed of light.

zyx [ crate · repo · docs ]

Zyx machine learning library

custos [ crate · repo · docs ]

A minimal OpenCL, WGPU, CUDA and host CPU array manipulation engine.

neuroflow [ crate · repo · docs ]

The neural network library implemented in Rust

prophet [ crate · repo · docs ]

A neural network implementation with a focus on cache-efficiency and sequential performance.

convolutions-rs [ crate · repo · docs ]

Torch-compatible convolutions crate implemented in pure rust.

wonnx [ crate · repo · docs ] archived

Wonnx is an ONNX runtime based on wgpu aimed at being a universal GPU runtime, written in Rust.

nn [ crate · repo · docs ]

A multilayer feedforward backpropagation neural network library

cogent [ crate · repo · docs ]

Basic neural network library for classification.

auto-diff [ crate · repo · docs ]

A neural network library in Rust.

leaf [ crate · repo · docs ]

Machine Learning Framework for Hackers

tvm [ crate · repo · docs ]

Rust frontend support for TVM

alumina [ crate · repo · docs ]

An Experimental Deep Learning Library

rustml [ crate · repo · docs ]

A library for doing maching learning in Rust.

mininn [ crate · repo · docs ]

A minimalist deep learnig crate for rust.

fann [ crate · repo · docs ]

Wrapper for the Fast Artificial Neural Networks library

autograph [ crate · repo · docs ]

A machine learning library for Rust.

juice [ crate · repo · docs ]

Machine Learning Framework for Hackers

revonet [ crate · repo · docs ]

Rust implementation of real-coded genetic algorithm for solving optimization problems and training of neural networks. The latter is also known as neuroevolution.

kyanite [ crate · repo · docs ]

A modular, expandable, gallery collector.

cntk [ crate · repo · docs ]

Wrapper around Microsoft CNTK library

neuronika [ crate · repo · docs ]

Tensors and dynamic neural networks.

drug [ crate · repo · docs ]

A differentiable computation graph for neural networks.

blackportal-ai/delta [ repo ]

YdrMaster/operators-rs [ repo ]

InfiniTensor/InfiniLM [ repo ]

EricLBuehler/mistral.rs [ repo ]

outbrain/fwumious_wabbit [ repo ]

tedsta/deeplearn-rs [ repo ] archived

torchrs/torchrs [ repo ]

hal-ml [ crate · repo · docs ]

HAL: a machine learning library that is able to run on Nvidia, OpenCL or CPU BLAS based compute backends. It currently provides stackable classical neural networks, RNN's and soon to be LSTM's. A differentiation of this package is that we are looking to implement RTRL (instead of just BPTT) for the recurrent layers in order to provide a solid framework for online learning. We will also (in the future) be implementing various layers such as unitary RNN's, NTM's and Adaptive Computation time based LSTM's. HAL also comes with the ability to plot and do many basic math operations on arrays.