Rust Machine learning Resources

arrayvec OR A vector with fixed capacity. Please read the API documentation here License Dual-licensed to be compatible with the Rust project. License

OpenTau: Using OpenAI Codex for Gradual Type Inference Current implementation is focused on TypeScript Python implementation comes next Requirements r

learn-rust 这是一个分享Rust学习资料的在线学习网站 https://getrust.tech 📚 。 微信群二维码过期你可以添加我微信: AA996DD 目的是什么 ❓ 通过连载文章的形式帮助有一定其他语言编程基础的人快速学习和入门 Rust 内容包括 Rust 基础、内置库、web

Rlsl - Rust Like Shading Language Deprecated in favor of rust-gpu What is Rlsl? Rlsl can compile a subset of Rust to SPIR-V. You can read more about t

Accel: GPGPU Framework for Rust crate crates.io docs.rs GitLab Pages accel CUDA-based GPGPU framework accel-core Helper for writing device code accel-

Probabilistic Principal Component Analysis (PPCA) model This project implements a PPCA model implemented in Rust for Python using pyO3 and maturin. In

Serenade: Low-Latency Session-Based Recommendations This repository contains the official code for session-based recommender system Serenade, which em

descent Toy library for neural networks in Rust using Vulkan compute shaders. Features Multi-dimensional arrays backed by Vulkan device memory Use Rus

rust-dl-webserver This project provides an example of serving a deep learning model with batched prediction using Rust. In particular it runs a GPT2 m

lightgbm-rs LightGBM Rust binding Require You need an environment that can build LightGBM. # linux apt install -y cmake libclang-dev libc++-dev gcc-mu

Rustml Rustml is a library for doing machine learning in Rust. The documentation of the project with a descprition of the modules can be found here. F

Border Border is a reinforcement learning library in Rust. For reusability of both RL environments and agents, this library provides a reference imple

petal-clustering A collection of clustering algorithms. Currently this crate provides DBSCAN and OPTICS. Examples The following example shows how to c

bertml High-level non-blocking Deno bindings to the rust-bert machine learning crate. Guide Introduction The ModelManager class manages the FFI bindin

makeup Pretty CLI / TUI interfaces. MSRV 1.65. READ ME FIRST makeup is still early-stage!!! Treat it like the alpha project it is. crates.io Usage exa

Scallop Scallop is a declarative language designed to support rich symbolic reasoning in AI applications. It is based on Datalog, a logic rule-based q

ARIMA Rust crate for ARIMA model coefficient estimation and simulation. Example extern crate rand; use rand::prelude::*; use rand::distributions::{Nor

MO's Trading - an online contest for high frequency trading

ferrilab Redefining the Rust fundamental data model bitvec funty radium Introduction The ferrilab project is a collection of crates that provide more

RSRL (api) Reinforcement learning should be fast, safe and easy to use. Overview rsrl provides generic constructs for reinforcement learning (RL) expe

SLAS Static Linear Algebra System Provides statically allocated vector, matrix and tensor types, for interfacing with blas/blis, in a performant manor

Serving TensorFlow with Actix-Web This repository gives an example of training a machine learning model using TensorFlow2.0 Keras in python, exporting

Jupiter Jupiter is a research-only adapter making Celestia compatible with the Sovereign SDK. None of its code is suitable for production use. It cont

Eclipse Zenoh-Flow Zenoh-Flow provides a zenoh-based dataflow programming framework for computations that span from the cloud to the device. ⚠️ This s

gym-rs OpenAI gym binding for Rust. Actively maintained! If you have any problem just create an issue. Install Just install the requierements layed ou

Rust bindings for TensorFlow Lite This crates provides TensorFlow Lite APIs. Please read the API documentation on docs.rs Using the interpreter from a

Robust and Fast tokenizations alignment library for Rust and Python

Python implementation of the Gap Statistic Purpose Dynamically identify the suggested number of clusters in a data-set using the gap statistic. Full e

RustAD - Rust Auto-Differentiation A super restrictive rough WIP beginnings of a library attempting to implement auto-differentiation in Rust. forward

Fwumious Wabbit is a very fast machine learning tool built with Rust inspired by and partially compatible with Vowpal Wabbit (much love! read more abo

Rusty_SR A Rust super-resolution tool, which when given a low resolution image utilises deep learning to infer the corresponding high resolution image

eval-metrics Evaluation metrics for machine learning Design The goal of this library is to provide an intuitive collection of functions for computing

This repo contains a prototype of Narwhal and Tusk. It supplements the paper Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus.

Apress Source Code This repository accompanies Practical Machine Learning with Rust by Joydeep Bhattacharjee (Apress, 2020). Download the files as a z

cuda-oxide cuda-oxide is a safe wrapper for CUDA. With cuda-oxide you can execute and coordinate CUDA kernels. Safety Philosophy cuda-oxide does not o

multi-agent (path finding) planning framework Mapf is a (currently experimental) Rust library for multi-agent planning, with a focus on cooperative pa

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

throttle_my_fn: A Rust attribute macro to throttle the execution of functions throttle_my_fn is a Rust attribute macro to limit a function's number of

facegrep I want to learn Rust and found about Rustface (which is a port of C++ SeetaFace Engine). It detects faces in a picture. What interesting is i

Kalman filter and RTS smoother in Rust (ndarray) This repository features a simple Kalman filter and RTS smoother (KFS) implementation in Rust by usin

Alumina An experimental deep learning library written in pure rust. Breakage expected on each release in the short term. See mnist.rs in examples or R

rust-xgboost Rust bindings for the XGBoost gradient boosting library. Documentation Basic usage example: extern crate xgboost; use xgboost::{paramete

NEATeRS NEATeRS is a library for training a genetic neural net through reinforcement learning. It uses the NEAT algorithm developed by Ken Stanley whi

A high level, easy to use gpgpu crate based on wgpu. It is made for very large computations on powerful gpus

In One Sentence You trained a SVM using libSVM, now you want the highest possible performance during (real-time) classification, like games or VR. Hig

small_knn This library is an approximate K-nearest neighbor search based on Hierarchical Navigable Small World (https://arxiv.org/pdf/1603.09320.pdf).

Overview This is a little experiment of mine where I wanted to make a simulated world with actors that could evolve and mutate in response to changes

NeuroFlow is fast neural networks (deep learning) Rust crate. It relies on three pillars: speed, reliability, and speed again. Hello, everyone! Work o

BDSP RNG Reference This is a command line interface for BDSP RNG, primarily used as a reference implementation and as a tool for testing. Building Bui

randomforest A random forest implementation in Rust. Examples use randomforest::criterion::Mse; use randomforest::RandomForestRegressorOptions; use ra

MesaTEE GBDT-RS : a fast and secure GBDT library, supporting TEEs such as Intel SGX and ARM TrustZone MesaTEE GBDT-RS is a gradient boost decision tre

Tuna This repository has two different projects, a plugable VM for running WASM contracts on Deku and a Michelson to WASM compiler which also has some

gpt3_rs is a rust library for interacting with OpenAi's gpt3

Random Cut Forest C/C++ Random Cut Forest (RCF) anomaly detection for C/C++ 🌲 Also available for Ruby and PHP, and as a CLI Installation Download the