Neural Networks

ort [ crate · repo · docs ]

A safe Rust wrapper for ONNX Runtime 1.20 - Optimize and accelerate machine learning inference & training

tch [ crate · repo · docs ]

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

candle-core [ crate · repo · docs ]

Minimalist ML framework with CUDA acceleration and quantization support

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 ]

Rust language bindings for TensorFlow.

triton_grow [ crate · repo · docs ]

Renamed!!! Check out Unda if you want to see the general purpose neural network crate in rust!!

zyx [ crate · repo · docs ]

Zyx machine learning library

tflite [ crate · repo · docs ]

Rust bindings for TensorFlow Lite

custos [ crate · repo · docs ]

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

unda [ crate · repo · docs ]

General purpose machine learning crate for neural network development and analysis

dfdx [ crate · repo · docs ]

Ergonomic auto differentiation in Rust, with pytorch like apis.

mininn [ crate · repo · docs ]

A minimalist deep learnig crate for rust.

wonnx [ crate · repo · docs ]

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

juice [ crate · repo · docs ]

Machine Learning Framework for Hackers

autograph [ crate · repo · docs ]

A machine learning library for Rust.

rusty-machine [ crate · repo · docs ]

A machine learning library.

cogent [ crate · repo · docs ]

Basic neural network library for classification.

tvm [ crate · repo · docs ]

Rust frontend support for TVM

leaf [ crate · repo · docs ]

Machine Learning Framework for Hackers

autograd [ crate · repo · docs ]

Tensors and differentiable operations in Rust

auto-diff [ crate · repo · docs ]

A neural network library in Rust.

deltaml [ crate · repo · docs ]

An Open-Source Machine Learning Framework in Rust Δ

convolutions-rs [ crate · repo · docs ]

Torch-compatible convolutions crate implemented in pure rust.

prophet [ crate · repo · docs ]

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

fann [ crate · repo · docs ]

Wrapper for the Fast Artificial Neural Networks library

nn [ crate · repo · docs ]

A multilayer feedforward backpropagation neural network library

kyanite [ crate · repo · docs ]

A modular, expandable, gallery collector.

rustml [ crate · repo · docs ]

A library for doing maching learning in Rust.

cntk [ crate · repo · docs ]

Wrapper around Microsoft CNTK library

neuroflow [ crate · repo · docs ]

The neural network library implemented in Rust

alumina [ crate · repo · docs ]

An Experimental Deep Learning Library

luminal [ crate · docs ]

Deep learning at the speed of light.

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.

drug [ crate · repo · docs ]

A differentiable computation graph for neural networks.

neuronika [ crate · repo · docs ]

Tensors and dynamic neural networks.

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.

YdrMaster/operators-rs [ repo ]

InfiniTensor/InfiniLM [ repo ]

outbrain/fwumious_wabbit [ repo ]

tedsta/deeplearn-rs [ repo ]

torchrs/torchrs [ repo ]