281 Repositories
Rust machine-learning Libraries
Reinforcement learning with Rust
ReLearn: A Reinforcement Learning Library A reinforcement learning library and experiment runner. Uses pytorch as the neural network backend via the t
Messing around with deep learning
Deep Learning Test Implementing deep learning in Rust using just a linear algebra library (nalgebra). The neural network (4 hidden layers, 32 neurons
🐎 Daac Horse: Double-Array Aho-Corasick in Rust
🐎 daachorse Daac Horse: Double-Array Aho-Corasick Overview A fast implementation of the Aho-Corasick algorithm using Double-Array Trie. Examples use
Bad Apple!! for the Uxn stack-machine
bad-apple-uxn Bad Apple!! for the Uxn stack-machine by Hundred Rabbits. Quick start cargo run --release -- --input assets/badapple.mp4 --output badapp
Controls the RGB on the keyboard for the Legion 5 Pro from Lenovo. Mostly used for learning a bit of rust.
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 Algorithm by Rust. Label propagation (LP) is graph-based semi-supervised learning (SSL). LGC and CAMLP have been implemented.
label-propagation-rs Label Propagation Algorithm by Rust. Label propagation (LP) is graph-based semi-supervised learning (SSL). A simple LGC and a mor
This is a simple Telegram bot with interface to Firefly III to process and store simple transactions.
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
The lightest distributed consensus library. Run your own replicated state machine! ❤️
Little Raft The lightest distributed consensus library. Run your own replicated state machine! ❤️ Installing Simply import the crate. In your Cargo.to
Efficient ML solutions for long-tailed demands.
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
An LC-3 virtual machine written in Rust for learning purposes.
LC-3 written in Rust An LC-3 virtual machine written in Rust for learning purposes.
Example of Rust API for Machine Learning
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
A memory safe Lua interpreter
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
Run your Rust CLI programs as state machines with persistence and recovery abilities
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 🦀 .
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
A Machine Learning Framework for High Performance 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
A simple, external MCPE client. For learning purposes...
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
Lumen - A new compiler and runtime for BEAM languages
An alternative BEAM implementation, designed for WebAssembly
Ethereum Virtual Machine implementation
Fast EVM implementation with full async support. Port of evmone to Rust.
Detect if code is running inside a virtual machine (x86 and x86-64 only).
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
The source code that accompanies Hands-on Rust: Effective Learning through 2D Game Development and Play by Herbert Wolverson
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
Dynamically get the suggested clusters in the data for unsupervised learning.
Python implementation of the Gap Statistic Purpose Dynamically identify the suggested number of clusters in a data-set using the gap statistic. Full e
Barnes-Hut t-SNE implementation written in Rust.
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
A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
craftml-rs A Rust implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning (Siblini et al., 2018). Perf
FFSVM stands for "Really Fast Support Vector Machine"
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
Flexible, reusable reinforcement learning (Q learning) implementation in Rust
Rurel Rurel is a flexible, reusable reinforcement learning (Q learning) implementation in Rust. Release documentation In Cargo.toml: rurel = "0.2.0"
Reinforcement learning library written in Rust
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
AI-powered search engine for Rust
txtai: AI-powered search engine for Rust txtai executes machine-learning workflows to transform data and build AI-powered text indices to perform simi
Deep recommender systems for Rust
sbr An implementation of sequence recommenders based on the wyrm autdifferentiaton library. sbr-rs sbr implements efficient recommender algorithms whi
A neural network, and tensor dynamic automatic differentiation implementation for Rust.
Corgi A neural network, and tensor dynamic automatic differentiation implementation for Rust. BLAS The BLAS feature can be enabled, and requires CBLAS
l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
l2 • 🤖 A Pytorch-style Tensor+Autograd library written in Rust Installation • Contributing • Authors • License • Acknowledgements Made by Bilal Khan
Rust bindings for XGBoost.
rust-xgboost Rust bindings for the XGBoost gradient boosting library. Documentation Basic usage example: extern crate xgboost; use xgboost::{paramete
Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.
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
Orkhon: ML Inference Framework and Server Runtime Latest Release License Build Status Downloads Gitter What is it? Orkhon is Rust framework for Machin
(MERGED) Rust bindings for TVM runtime
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 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.
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.
A command-line downloader for sites archived on the Wayback Machine
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 is an automated machine learning framework designed for programmers.
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
On-the-fly machine code executing from Deno
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.
Hitbox is an asynchronous caching framework supporting multiple backends and suitable for distributed and for single-machine applications.
Rust wrapper for the BlingFire tokenization library
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
An NLP-suite powered by deep learning
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-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigram (SentencePiece) models
rust-tokenizers Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigra
A fast implementation of Aho-Corasick in Rust.
aho-corasick A library for finding occurrences of many patterns at once with SIMD acceleration in some cases. This library provides multiple pattern s
A fast, low-resource Natural Language Processing and Text Correction library written in Rust.
nlprule A fast, low-resource Natural Language Processing and Error Correction library written in Rust. nlprule implements a rule- and lookup-based app
Semantic text segmentation. For sentence boundary detection, compound splitting and more.
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 native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
rust-bert Rust native Transformer-based models implementation. Port of Hugging Face's Transformers library, using the tch-rs crate and pre-processing
A simple neural net implementation.
PROPHET - Neural Network Library Linux Windows Codecov Coveralls Docs Crates.io A simple neural net implementation written in Rust with a focus on cac
🦀 Example of serving deep learning models in Rust with batched prediction
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, fast on-line machine learning toolkit written in Rust
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
Machine Learning Library for Rust
autograph Machine Learning Library for Rust undergoing maintenance Features Portable accelerated compute Run SPIR-V shaders on GPU's that support Vulk
Rust based Cross-GPU Machine Learning
HAL : Hyper Adaptive Learning Rust based Cross-GPU Machine Learning. Why Rust? This project is for those that miss strongly typed compiled languages.
Machine learning in Rust.
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
Awesome deep learning crate
NeuroFlow is fast neural networks (deep learning) Rust crate. It relies on three pillars: speed, reliability, and speed again. Hello, everyone! Work o
A deep learning library for rust
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
A fast, safe and easy to use reinforcement learning framework in Rust.
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
Orkhon: ML Inference Framework and Server Runtime Latest Release License Build Status Downloads Gitter What is it? Orkhon is Rust framework for Machin
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
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
The Hacker's Machine Learning Engine
Juice This is the workspace project for juice - machine learning frameworks for hackers coaster - underlying math abstraction coaster-nn coaster-blas
High-performance automatic differentiation of LLVM.
The Enzyme High-Performance Automatic Differentiator of LLVM Enzyme is a plugin that performs automatic differentiation (AD) of statically analyzable
Tensors and differentiable operations (like TensorFlow) in Rust
autograd Differentiable operations and tensors backed by ndarray. Motivation Machine learning is one of the field where Rust lagging behind other lang
Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.
xaynet Xaynet: Train on the Edge with Federated Learning Want a framework that supports federated learning on the edge, in desktop browsers, integrate
High-performance runtime for data analytics applications
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 for cpu, gpu and specialized accelerators
Open Deep Learning Compiler Stack Documentation | Contributors | Community | Release Notes Apache TVM is a compiler stack for deep learning systems. I
https://getrust.tech
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
An inquiry into nondogmatic software development. An experiment showing double performance of the code running on JVM comparing to equivalent native C code.
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
🥸 Learning WebAssembly
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
个人的 rust 学习资料
🔝 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
Wait, another virtual machine ?
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
A bunch of links to blog posts, articles, videos, etc for learning Rust
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.
A flexible web framework that promotes stability, safety, security and speed. Features Stability focused. All releases target stable Rust. This will n
High-performance runtime for data analytics applications
Weld Documentation Weld is a language and runtime for improving the performance of data-intensive applications. It optimizes across libraries and func
Rust bindings for the C++ api of PyTorch.
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
Machine learning crate for Rust
rustlearn A machine learning package for Rust. For full usage details, see the API documentation. Introduction This crate contains reasonably effectiv
Rust language bindings for TensorFlow
TensorFlow Rust provides idiomatic Rust language bindings for TensorFlow. Notice: This project is still under active development and not guaranteed to
Open Machine Intelligence Framework for Hackers. (GPU/CPU)
Leaf • Introduction Leaf is a open Machine Learning Framework for hackers to build classical, deep or hybrid machine learning applications. It was ins
Rust library for Self Organising Maps (SOM).
RusticSOM Rust library for Self Organising Maps (SOM). Using this Crate Add rusticsom as a dependency in Cargo.toml [dependencies] rusticsom = "1.1.0"
Machine Learning library for Rust
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
A Rust machine learning framework.
Linfa linfa (Italian) / sap (English): The vital circulating fluid of a plant. linfa aims to provide a comprehensive toolkit to build Machine Learning
Radiate is a parallel genetic programming engine capable of evolving solutions to many problems as well as training learning algorithms.
Radiate Coming from Evolutionary Radiation. Evolutionary radiation is a rapid increase in the number of species with a common ancestor, characterized
Secure and fast microVMs for serverless computing.
Our mission is to enable secure, multi-tenant, minimal-overhead execution of container and function workloads. Read more about the Firecracker Charter