218 Repositories
Rust state-machine Libraries
Talk with your machine in this minimalistic Rust crate!
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
global state management for dioxus built on the concept of atoms. currently under 🏗
Fermi: A global state management solution for Dioxus, inspired by Recoil.Js Fermi provides primitives for managing global state in Dioxus applications
Evaluation metrics for machine learning
eval-metrics Evaluation metrics for machine learning Design The goal of this library is to provide an intuitive collection of functions for computing
A machine learning library for supervised training of parametrized models
Vikos Vikos is a library for supervised training of parameterized, regression, and classification models Design Goals Model representations, cost func
n2 is a library implementation of a feedforward, backpropagation artificial neural network.
n2 is a library implementation of a feedforward, backpropagation artificial neural network. Usage Add the following to the [dependencies] section o
Neural Networks in Rust, without backpropagation. WIP
Deep Thought As of right now, this crate is far from a usable state. This crate implements feedforward-neural Networks in rust. Unlike the vast majori
Machine learning crate in Rust
DeepRust - Machine learning in Rust Vision To create a deeplearning crate in rust aiming to create a great experience for ML researchers & developers
Deep learning superresolution in pure rust
Rusty_SR A Rust super-resolution tool, which when given a low resolution image utilises deep learning to infer the corresponding high resolution image
An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification
Omikuji An efficient implementation of Partitioned Label Trees (Prabhu et al., 2018) and its variations for extreme multi-label classification, writte
Rust language bindings for the LIBLINEAR C/C++ library.
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
A Rust library with homemade machine learning models to classify the MNIST dataset. Built in an attempt to get familiar with advanced Rust concepts.
mnist-classifier Ideas UPDATED: Finish CLI Flags Parallelize conputationally intensive functions Class-based naive bayes README Image parsing Confusio
Rust port of the extended isolation forest algorithm for anomaly detection
Extended Isolation Forest This is a rust port of the anomaly detection algorithm described in Extended Isolation Forest and implemented in https://git
A rust library inspired by kDDBSCAN clustering algorithm
kddbscan-rs Rust implementation of the kddbscan clustering algorithm. From the authors of kDDBSCAN algorithm. Due to the adoption of global parameters
Self Organizing Map (SOM) is a type of Artificial Neural Network (ANN) that is trained using an unsupervised, competitive learning to produce a low dimensional, discretized representation (feature map) of higher dimensional data.
som Self Organizing Map Pre-requisites Setup rust To download Rustup and install Rust, run the following in your terminal, then follow the on-screen i
A fast, searchable, knowledge engine using various machine learning models to aggregate based on importance, association and relevance
NewsAggregator We live in an era where both the demand and quantity of information are enormous. However, the way we store and access that information
H2O Open Source Kubernetes operator and a command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.
H2O Kubernetes Repository with official tools to aid the deployment of H2O Machine Learning platform to Kubernetes. There are two essential tools to b
An implementation of the Pair Adjacent Violators algorithm for isotonic regression in Rust
Pair Adjacent Violators for Rust Overview An implementation of the Pair Adjacent Violators algorithm for isotonic regression. Note this algorithm is a
🏆 A ranked list of awesome machine learning Rust libraries.
best-of-ml-rust 🏆 A ranked list of awesome machine learning Rust libraries. This curated list contains 180 awesome open-source projects with a total
An example of using TensorFlow rust bindings to serve trained machine learning models via Actix Web
Serving TensorFlow with Actix-Web This repository gives an example of training a machine learning model using TensorFlow2.0 Keras in python, exporting
Source Code for 'Practical Machine Learning with Rust' by Joydeep Bhattacharjee
Apress Source Code This repository accompanies Practical Machine Learning with Rust by Joydeep Bhattacharjee (Apress, 2020). Download the files as a z
BTM - Blockchain Time Machine.
BTM Blockchain Time Machine. BTM is an incremental data backup mechanism that does not require downtime. Why would you need this? btm will give you th
Tangram - makes it easy for programmers to train, deploy, and monitor machine learning models.
Tangram is the all-in-one machine learning toolkit for programmers. Train a model from a CSV file on the command line. Make predictions from Elixir, G
A parser, compiler, and virtual machine evaluator for a minimal subset of Lua; written from scratch in Rust.
lust: Lua in Rust This project implements a parser, compiler, and virtual machine evaluator for a minimal subset of Lua. It is written from scratch in
My solutions for the 2021 edition of the Advent of Code, using Rust and SOM (Simple Object Machine)
Advent of Code 2021 These are my solutions for the 2021 edition of the Advent of Code. The solutions are all implemented using both Rust and SOM (Simp
This is the data collector that gets your system's state and sends it to the backend
⚡ Installation Linux curl -s https://raw.githubusercontent.com/xornet-cloud/Reporter/main/scripts/install.sh | sudo bash Windows Invoke-Command -Scrip
[WIP] An experimental Java-like language and it's virtual machine, for learning Java and JVM.
Sky VM An experimental Java-like language and it's virtual machine, for learning Java and JVM. Dependencies Rust (rust-lang/rust) 2021 Edition, dual-l
Rust = Solidity
POC harness for writing Solidity tests in Rust using ethers-rs. Usage Run forge tests forge test Run rust tests forge build cargo test Notes The usag
A drum machine written in Rust
rudiments rudiments is a step-sequencing drum machine that plays rhythm patterns using audio samples. Features 16-step programmable measures. Configur
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
Machine learning Neural Network in Rust
vinyana vinyana - stands for mind in pali language. Goal To implement a simple Neural Network Library in order to understand the maths behind it. This
💫 Small microservice to handle state changes of Kubernetes pods and post them to Instatus or Statuspages
💫 Kanata Small microservice to handle state changes of Kubernetes pods and post to Instatus 🤔 Why? I don't really want to implement and repeat code
The uncomplicated Yew State management library
Bounce The uncomplicated state management library for Yew. Bounce is inspired by Redux and Recoil. Rationale Yew state management solutions that are c
Synchronized shadow state of Solana programs available for off-chain processing.
Solana Shadow The Solana Shadow crate adds shadows to solana on-chain accounts for off-chain processing. This create synchronises all accounts and the
AutoML in Rust 🦀
AutoML with SmartCore AutoML is Automated Machine Learning, referring to processes and methods to make machine learning more accessible for a general
STARK-based virtual machine
Polygon Miden A STARK-based virtual machine. WARNING: This project is in an alpha stage. It has not been audited and may contain bugs and security fla
High performance distributed framework for training deep learning recommendation models based on PyTorch.
PERSIA (Parallel rEcommendation tRaining System with hybrId Acceleration) is developed by AI platform@Kuaishou Technology, collaborating with ETH. It
zenoh-flow aims at providing a zenoh-based data-flow programming framework for computations that span from the cloud to the device.
Eclipse Zenoh-Flow Zenoh-Flow provides a zenoh-based dataflow programming framework for computations that span from the cloud to the device. ⚠️ This s
High-level non-blocking Deno bindings to the rust-bert machine learning crate.
bertml High-level non-blocking Deno bindings to the rust-bert machine learning crate. Guide Introduction The ModelManager class manages the FFI bindin
Common processing blocks used with your Runes.
Common Processing Blocks (API Docs) Processing blocks built by Hammer of the Gods that you can use with your Runes. License This project is licensed u
🐱👤 Cross-language static library for accessing the Lua state in Garry's Mod server plugins
gmserverplugin This is a utility library for making Server Plugins that access the Lua state in Garry's Mod. Currently, accessing the Lua state from a
🍄 A disassembler for the UEFI Bytecode Virtual Machine.
🍄 A disassembler for the UEFI Bytecode Virtual Machine.
Revolutionary Machine (revm) is a fast Ethereum virtual machine written in rust.
revm - Revolutionary Machine Is Rust Ethereum Virtual Machine with great name that is focused on speed and simplicity.
crosvm is a virtual machine monitor (VMM) based on Linux’s KVM hypervisor
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,
convolutions-rs is a crate that provides a fast, well-tested convolutions library for machine learning
convolutions-rs convolutions-rs is a crate that provides a fast, well-tested convolutions library for machine learning written entirely in Rust with m
figure out who holds the nfts that came out of a candy machine.
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
RevonsOs is a new OS written from scratch in Rust to experiment with novel OS structure, better state management
RevonsOs is a new OS written from scratch in Rust to experiment with novel OS structure, better state management, and how to leverage intralingual design principles to shift OS responsibilities like resource management into the compiler.
🐎 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
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
Frame is a markdown language for creating state machines (automata) in 7 programming languages as well as generating UML documentation.
Frame Language Transpiler v0.5.1 Hi! So very glad you are interested in Frame. Frame system design markdown language for software architects and engin
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
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
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
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
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
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 experiments involving Haskell-esque do notation, state, failure and Nom parsers!
Introduction As a long time Haskell developer recently delving into Rust, something I've really missed is monads and do notation. One thing monadic do
DEPRECATED. The Holochain framework implemented in rust with a redux style internal state-model.
Holochain-rust Travis: Circle CI: Codecov: License: This code is loosely based on the previous Golang prototype. Code Status: This Rust version is alp
The new, performant, and simplified version of Holochain on Rust (sometimes called Holochain RSM for Refactored State Model)
Holochain License: This repository contains the core Holochain libraries and binaries. This is the most recent and well maintained version of Holochai
Cassette A simple, single-future, non-blocking executor intended for building state machines.
Cassette A simple, single-future, non-blocking executor intended for building state machines. Designed to be no-std and embedded friendly. This execut
Theseus is a modern OS written from scratch in Rust that explores 𝐢𝐧𝐭𝐫𝐚𝐥𝐢𝐧𝐠𝐮𝐚𝐥 𝐝𝐞𝐬𝐢𝐠𝐧, novel OS structure, and state management. It strives to close the semantic gap between compiler and hardware in order to maximally leverage the power of language safety, and thus shift OS responsibilities (resource management) into the compiler.
Theseus OS Theseus is a new OS written from scratch in Rust to experiment with novel OS structure, better state management, and how to shift OS respon
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
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
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Provides an implementation of today's most used tokenizers, with a focus on performance and versatility. Main features: Train new vocabularies and tok
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 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