Rust Machine learning Resources

Corgi A neural network, and tensor dynamic automatic differentiation implementation for Rust. BLAS The BLAS feature can be enabled, and requires CBLAS

Omikuji An efficient implementation of Partitioned Label Trees (Prabhu et al., 2018) and its variations for extreme multi-label classification, writte

craftml-rs A Rust implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning (Siblini et al., 2018). Perf

Kalman filtering and smoothing library written in Rust Access documentation for the library here. Library is also referenced in Cargo index. Currently

Learning Rust - A Lesson in Humility J. M. Barrie - Author of Peter Pan Life is a long lesson in humility... and so is learning Rust. I tried to teach

SimConnect SDK An opinionated SimConnect Client that encapsulates the C API fully and optimizes for developer experience. Usage [dependencies] simconn

RAMP from scratch This is a rewrite of the RAMP (Rapid Assistance in Modelling the Pandemic) model, based on the EcoTwins-withCommuting branch, in Rus

deeplearn-rs Deep learning in Rust! This is my first shot at this. It's mostly just a proof of concept right now. The API will change. Status We have

Extended Isolation Forest This is a rust port of the anomaly detection algorithm described in Extended Isolation Forest and implemented in https://git

petal-neighbors Nearest neighbor search algorithms including a ball tree and a vantage point tree. Examples The following example shows how to find tw

RusticSOM Rust library for Self Organising Maps (SOM). Using this Crate Add rusticsom as a dependency in Cargo.toml [dependencies] rusticsom = "1.1.0"

Orbiter spacecraft addon development in Rust This project is a proof of concept for creating a spacecraft addon for the Orbiter spaceflight simulator

k-Medoids Clustering in Rust with FasterPAM This Rust crate implements k-medoids clustering with PAM. It can be used with arbitrary dissimilarites, as

AutoML with SmartCore AutoML is Automated Machine Learning, referring to processes and methods to make machine learning more accessible for a general

inspirv-rust UPDATE 2: Next design iteration would probably be based on HIR instead of MIR. See more details here. In the meantime, you might want to

Speak Speak is a simple, easy to use Natural Language Processor (NLP) written in Rust. Why use Speak? Speak uses a custom engine, and to setup you jus

kodama This crate provides a fast implementation of agglomerative hierarchical clustering. This library is released under the MIT license. The ideas a

tch-rs-pretrain-example-docker Docker for PyTorch rust bindings tch-rs. Example of pretrain model. Docker files support the following install libtorch

rust-machine-learning-api-example Example of Rust API for Machine Learning API example that uses resnet224 to infer images received in base64 and retu

Write to tensorboard in Rust Write TensorBoard events in Rust. Can write scalar, image, histogram. Example Write multiple scalar in one plot. let mut

Poker Trainer Version this application is run on: NPM: 8.17.0 Rust: 1.62.0 Available Scripts In the project directory, you can run: npm start Runs the

mih-rs Rust implementation of multi-index hashing (MIH) for neighbor searches on binary codes in the Hamming space, described in the paper Norouzi, Pu

Masked Language Model on Wasm This project is for OPTiM TECH BLOG. Please see below: WebAssemblyを用いてBERTモデルをフロントエンドで動かす Demo Usage Build image docker

liblinear-rs Rust bindings for the liblinear C/C++ library. Provides a thin (but rustic) wrapper around the original C-interface exposed by the librar

Rust-like syntax for GLSL glassful translates a small subset of Rust to OpenGL Shading Language. Besides one's personal preferences regarding Rust-lik

mxnet Rust Bindings This is a work in progress. Contributions gladly accepted! The mxnet crate defines a high-level Rust API for mxnet using the mxnet

PROPHET - Neural Network Library Linux Windows Codecov Coveralls Docs Crates.io A simple neural net implementation written in Rust with a focus on cac

Detects whether the current terminal supports hyperlinks in terminal emulators. It tries to detect and support all known terminals and terminal famili

gps-cluster This small program will take some pictures in input, and based on the metadata on every image, it will group them by their GPS position, i

bayespam A simple bayesian spam classifier. About Bayespam is inspired by Naive Bayes classifiers, a popular statistical technique of e-mail filtering

DeepRust - Machine learning in Rust Vision To create a deeplearning crate in rust aiming to create a great experience for ML researchers & developers

polarlight polarlight is a machine learning framework for high performance written in Rust. Key Features TBA Quick Start TBA How To Contribute Contrib

VP-tree nearest neighbor search A relatively simple and readable Rust implementation of Vantage Point tree search algorithm. The VP tree algorithm doe

Epifaneia Performant code CAD with SDFs. This project aims to provide enough control over WGSL output using JavaScript to facilitate code CAD (Don't k

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

ra-evaluator A simple type-safe relational algebra evaluator. Relational algebra provides the theoretical foundation for relational databases and the

urlchecker A simple url checker for finding fraud url(s) or nearest url while being fast (threading) Eg:- use std::collections::HashMap; use urlchecke

Statically sized matrix using a definition with const generics

Stamm Stamm is a rust library for creating decision trees and random forests in a very general way. Decision trees are used in machine learning for cl

ndarray-image Allows conversion between ndarray's types and image's types Deprecated WARNING: This crate is currently deprecated in favor of https://g

Model API About A proof of concept for a web API that can export 3MF files from a parametric OpenSCAD model. A typical use would be to have a form on

fann-rs Rust wrapper for the Fast Artificial Neural Network (FANN) library. This crate provides a safe interface to FANN on top of the low-level bindi

Simple Artificial Neural Network A crate that implements simple usage of dense neural networks. Instalation Add this to your dependencies on Cargo.tom

Jupyter Energy Jupyter Notebooks are a data science tool mostly used for statistics and machine learning, some of the most energy-intensive computing

convolutions-rs convolutions-rs is a crate that provides a fast, well-tested convolutions library for machine learning written entirely in Rust with m

Deep Learning Test Implementing deep learning in Rust using just a linear algebra library (nalgebra). The neural network (4 hidden layers, 32 neurons

🔝 通知: 项目文档迁移到: https://github.com/higker/learn-rust learning-rust-zh 个人的 rust 学习资料 学习目录 目录 源代码地址 相关解析 第一个rust程序 https://github.com/higker/learning-ru

crfsuite-rs Rust binding to crfsuite Installation Add it to your Cargo.toml: [dependencies] crfsuite = "0.3" Add extern crate crfsuite to your crate r

Niura is an automatic differentiation library written in Rust. Add niura to your project [dependencies] niura = { git = "https://github.com/taminki/n

REnforce Reinforcement library written in Rust This library is still in early stages, and the API has not yet been finalized. The documentation can be

ReLearn: A Reinforcement Learning Library A reinforcement learning library and experiment runner. Uses pytorch as the neural network backend via the t

quad-url This is the crate to work with URL and open links in miniquad/macroquad environment. Web demo. Usage Add this to your Cargo.toml dependencies

traj-propagate A command line utility that reads from and writes to SPICE SPK files to propagate trajectories of specified bodies. The user must provi

kdtree-rust kdtree implementation for rust. Implementation uses sliding midpoint variation of the tree. More Info here Implementation uses single Vec