Rust Continuous-machine-learning Resources

🍄 A disassembler for the UEFI Bytecode Virtual Machine.

🦀 Rust Tutorials Welcome to a repository of my exploration of Rust, using the "The Rust Programming Language" tutorial book! This repo is partially f

revm - Revolutionary Machine Is Rust Ethereum Virtual Machine with great name that is focused on speed and simplicity.

crosvm - The Chrome OS Virtual Machine Monitor crosvm is a virtual machine monitor (VMM) based on Linux’s KVM hypervisor, with a focus on simplicity,

My journey of learning rust Low-level languages seem very interesting to me. I always wanted to learn a low-level language but never had the chance. T

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

Candy Holders This is far from finished, but can: find tokens with a given update authority find holders of those tokens Neither the Rust or Node APIs

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

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

🐎 daachorse Daac Horse: Double-Array Aho-Corasick Overview A fast implementation of the Aho-Corasick algorithm using Double-Array Trie. Examples use

bad-apple-uxn Bad Apple!! for the Uxn stack-machine by Hundred Rabbits. Quick start cargo run --release -- --input assets/badapple.mp4 --output badapp

L5P Keyboard RGB Control Program A fun little experiment. Probably contains bugs. ⚠️ Use at your own risk, the developer is not responsible for any da

label-propagation-rs Label Propagation Algorithm by Rust. Label propagation (LP) is graph-based semi-supervised learning (SSL). A simple LGC and a mor

Firefly Telegram Bot Fireflies are free, so beautiful. (Les lucioles sont libres, donc belles.) ― Charles de Leusse, Les Contes de la nuit This is a s

Little Raft The lightest distributed consensus library. Run your own replicated state machine! ❤️ Installing Simply import the crate. In your Cargo.to

MegFlow MegFlow 是一个面向视觉应用的流式计算框架, 目标是简单、高性能、帮助机器学习应用快速落地。 Features 基于 async-std[features=tokio1] 的高效异步运行时调度器 简洁的基于 toml 的建图描述格式 支持静态、动态、共享子图 支持 Rust/P

LC-3 written in Rust An LC-3 virtual machine written in Rust for learning purposes.

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

Hematita Da Lua Hematita Da Lua is an interpreter for the scripting language Lua, written entirely in 100% safe Rust. Hematita is the portugese word f

step-machine Run your CLI programs as state machines with persistence and recovery abilities. When such a program breaks you'll have opportunity to ch

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

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

sage A simple, external MCPE client. For learning purposes... Current Cheats a VERY simple speed, it just edits the speed pointer TODO Clean-up code A

An alternative BEAM implementation, designed for WebAssembly

Fast EVM implementation with full async support. Port of evmone to Rust.

inside-vm Detect if code is running inside a virtual machine. Only works on x86 and x86-64. How does it work Measure average cpu cycles when calling c

Hands-on Rust Source Code This repository contains the source code for the examples found in Hands-on Rust. These are also available from my publisher

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

bhtsne Barnes-Hut implementation of t-SNE written in Rust. The algorithm is described with fine detail in this paper by Laurens van der Maaten. Instal

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

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

Rurel Rurel is a flexible, reusable reinforcement learning (Q learning) implementation in Rust. Release documentation In Cargo.toml: rurel = "0.2.0"

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

txtai: AI-powered search engine for Rust txtai executes machine-learning workflows to transform data and build AI-powered text indices to perform simi

sbr An implementation of sequence recommenders based on the wyrm autdifferentiaton library. sbr-rs sbr implements efficient recommender algorithms whi

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

l2 • 🤖 A Pytorch-style Tensor+Autograd library written in Rust Installation • Contributing • Authors • License • Acknowledgements Made by Bilal Khan

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

xaynet Xaynet: Train on the Edge with Federated Learning Want a framework that supports federated learning on the edge, in desktop browsers, integrate

Orkhon: ML Inference Framework and Server Runtime Latest Release License Build Status Downloads Gitter What is it? Orkhon is Rust framework for Machin

DEPRECATED The RFC is closed and this has been merge into TVM. TVM Runtime Frontend Support This crate provides an idiomatic Rust API for TVM runtime

Ruxnasm is an assembler for Uxntal — a programming language for the Uxn stack-machine by Hundred Rabbits. Ruxnasm strives to be an alternative to Uxnasm, featuring more user-friendly error reporting, warnings, and helpful hints, reminiscent of those seen in modern compilers for languages such as Rust or Elm.

vore is a virtual machine management tool focused on VFIO set ups. with a minimal TOML file you should be able to get you should be able to create a VFIO-focused VM.

This is a small command-line utility I wrote to help with browsing archived websites from the Wayback Machine, which can sometimes be pretty slow.

Tangram Tangram is an automated machine learning framework designed for programmers. Run tangram train to train a model from a CSV file on the command

jit from js Execute raw machine code from JavaScript. I hope you know what you're doing :) const inst = new Uint8Array([0xC3]); // ret const noop = ji

Hitbox is an asynchronous caching framework supporting multiple backends and suitable for distributed and for single-machine applications.

repl.deploy Automatically deploy from GitHub to Replit, lightning fast ⚡️ repl.deploy is split into A GitHub app, which listens for code changes and s

BlingFire in Rust blingfire is a thin Rust wrapper for the BlingFire tokenization library. Add the library to Cargo.toml to get started cargo add blin

DeepFrog - NLP Suite Introduction DeepFrog aims to be a (partial) successor of the Dutch-NLP suite Frog. Whereas the various NLP modules in Frog wre b

rust-tokenizers Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigra

aho-corasick A library for finding occurrences of many patterns at once with SIMD acceleration in some cases. This library provides multiple pattern s

nlprule A fast, low-resource Natural Language Processing and Error Correction library written in Rust. nlprule implements a rule- and lookup-based app

NNSplit A tool to split text using a neural network. The main application is sentence boundary detection, but e. g. compound splitting for German is a

rust-bert Rust native Transformer-based models implementation. Port of Hugging Face's Transformers library, using the tch-rs crate and pre-processing

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

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

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

autograph Machine Learning Library for Rust undergoing maintenance Features Portable accelerated compute Run SPIR-V shaders on GPU's that support Vulk

HAL : Hyper Adaptive Learning Rust based Cross-GPU Machine Learning. Why Rust? This project is for those that miss strongly typed compiled languages.

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

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

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

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

Orkhon: ML Inference Framework and Server Runtime Latest Release License Build Status Downloads Gitter What is it? Orkhon is Rust framework for Machin

Cleora Cleora is a genus of moths in the family Geometridae. Their scientific name derives from the Ancient Greek geo γῆ or γαῖα "the earth", and metr

Juice This is the workspace project for juice - machine learning frameworks for hackers coaster - underlying math abstraction coaster-nn coaster-blas

The Enzyme High-Performance Automatic Differentiator of LLVM Enzyme is a plugin that performs automatic differentiation (AD) of statically analyzable

autograd Differentiable operations and tensors backed by ndarray. Motivation Machine learning is one of the field where Rust lagging behind other lang

xaynet Xaynet: Train on the Edge with Federated Learning Want a framework that supports federated learning on the edge, in desktop browsers, integrate

Weld Documentation Weld is a language and runtime for improving the performance of data-intensive applications. It optimizes across libraries and func

Open Deep Learning Compiler Stack Documentation | Contributors | Community | Release Notes Apache TVM is a compiler stack for deep learning systems. I

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

java-2-times-faster-than-c An experiment showing double performance of the code running on JVM comparing to equivalent native C code ⚠️ The title of t

learn-wasm # Initialize the project # https://github.com/lencx/create-xc-app npm init xc-app learn-wasm -t wasm-react Awesome Lists WebAssembly入门 Exam

🔝 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

WAVM WAVM, Wait, another virtual machine ?, is a register based 64 bits virtual machine written in Rust. It relies on 32 registers and 31 opcodes that

rust-learning A bunch of links to blog posts, articles, videos, etc for learning Rust. Feel free to submit a pull request if you have some links/resou

A flexible web framework that promotes stability, safety, security and speed. Features Stability focused. All releases target stable Rust. This will n

Weld Documentation Weld is a language and runtime for improving the performance of data-intensive applications. It optimizes across libraries and func

tch-rs Rust bindings for the C++ api of PyTorch. The goal of the tch crate is to provide some thin wrappers around the C++ PyTorch api (a.k.a. libtorc

rustlearn A machine learning package for Rust. For full usage details, see the API documentation. Introduction This crate contains reasonably effectiv

TensorFlow Rust provides idiomatic Rust language bindings for TensorFlow. Notice: This project is still under active development and not guaranteed to

Leaf • Introduction Leaf is a open Machine Learning Framework for hackers to build classical, deep or hybrid machine learning applications. It was ins

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

rusty-machine This library is no longer actively maintained. The crate is currently on version 0.5.4. Read the API Documentation to learn more. And he

Linfa linfa (Italian) / sap (English): The vital circulating fluid of a plant. linfa aims to provide a comprehensive toolkit to build Machine Learning

Radiate Coming from Evolutionary Radiation. Evolutionary radiation is a rapid increase in the number of species with a common ancestor, characterized

trust Travis CI and AppVeyor template to test your Rust crate on 5 architectures and publish binary releases of it for Linux, macOS and Windows Featur

Our mission is to enable secure, multi-tenant, minimal-overhead execution of container and function workloads. Read more about the Firecracker Charter

Subilo 🛳 Deployment automation agent Subilo is a tool to setup continuous deployments for applications running on machines with no external integrati