227 Repositories
Rust team-learning Libraries
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
Border is a reinforcement learning library in Rust
Border Border is a reinforcement learning library in Rust. For reusability of both RL environments and agents, this library provides a reference imple
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
Distributed SQL database in Rust, written as a learning project
toyDB Distributed SQL database in Rust, written as a learning project. Most components are built from scratch, including: Raft-based distributed conse
Incomplete Redis client and server implementation using Tokio - for learning purposes only
mini-redis mini-redis is an incomplete, idiomatic implementation of a Redis client and server built with Tokio. The intent of this project is to provi
Rust-and-opengl-lessons - Collection of example code for learning OpenGL in Rust
rust-and-opengl-lessons Project requires Rust 1.31 Collection of example code for learning OpenGL in Rust 00 - Setup 01 - Window 02 - OpenGL Context 0
Shogun search - Learning the principle of search engine. This is the first time I've written Rust.
shogun_search Learning the principle of search engine. This is the first time I've written Rust. A search engine written in Rust. Current Features: Bu
Rust-advent - Learning Rust by solving advent of code challenges (Streaming live on Twitch every Monday)
Rust advent 🦀 🐚 Learning Rust by implementing solutions for Advent of Code problems. 🎥 HEY, we are live-streaming our attempts to solve the exercis
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
handle some lichess.org/tournament load with rust, while learning rust
lila-http Take some of the HTTP load away from lila. WIP! Arena tournaments Clients connected to a tournament page request new data about the tourname
My 'Lugli' language compiler for learning purposes, written in rust. 🥰🤠
Lugli language compiler My 'Lugli' language compiler for learning purposes, written in rust. This language is to be a subset for other purposes, for e
My first Real-Time 3D Game Engine learning project written in Rust.
EyeEngine-Rust FOA, sry for my poor English. What is Eye Engine? Eye Engine is my first Real-Time 3D Game Engine learning project. There are two editi
Learning Rust: Sample App
mars_calc The App runs on rust takes inpit weight in kg of earth and returns the weight on mars My first rust App Ownership Rules First, let’s take a
Practice repo for learning Rust. Currently going through "Rust for JavaScript Developers" course.
rust-practice 🦀 Practice repo for learning Rust. Directories /rust-for-js-dev Files directed towards "Rust for JavaScript Developers" course. Thank y
An embedded key-value storage for learning purpose, which is based on the idea of SSTable / LSM-tree.
Nouzdb An embedded key-value storage for learning purpose, which is based on the idea of SSTable / LSM-tree. Plan Implement a memtable. Implement the
☃️ Learning Rust with AoC 2021 🎄https://adventofcode.com/2021/
🎄 Andrei's 2021 Advent of Code 🎄 Learning Goals Rust basics (vectors, arrays, math, etc.) Rust basic CLI Rust linear algebra and ndarrays (e.g., htt
A tour of rust's language features
Tour of Rust Welcome to the source repo of Tour of Rust. Goals This project is meant to give an experienced programmer a swift introduction to Rust as
DWARF packaging utility, written in Rust, supporting GNU extension and DWARF 5 package formats.
thorin thorin is an DWARF packaging utility for creating DWARF packages (*.dwp files) out of input DWARF objects (*.dwo files; or *.o files with .dwo
[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
Bellman zkSNARK library for community with Ethereum's BN256 support
bellman "Community edition" Originally developed for ZCash, with extensions from us to make it a little more pleasant. Uses our "community edition" pa
Applied offensive security with the Rust programming language
Black Hat Rust Applied offensive security with the Rust programming language Buy the book now! While the Rust Book does an excellent job teaching What
A utility like pkg-audit for Arch Linux. Based on Arch Security Team data.
arch-audit pkg-audit-like utility for Arch Linux. Based on data from security.archlinux.org collected by the awesome Arch Security Team. Installation
This is the repository with the tutorials of Learning Rust series in @Leticia-maria Youtube channel
Rust Tutorials This repository contains the information of Learning Rust playlist in my youtube channel. Learning Rust(part. 1)! Installation on Ubunt
zkSync: trustless scaling and privacy engine for Ethereum
zkSync: scaling and privacy engine for Ethereum zkSync is a scaling and privacy engine for Ethereum. Its current functionality scope includes low gas
Convert Fahrenheit to Celsius and vice versa 🌡️
Rusty Temperature Converter This is the pet project Convert Fahrenheit to Celsius and vice versa 🌡️ The program was implemented in the course of stud
Learning Rust through Advent of Code 2021 - probably not very clean!
AoC 2021 ======== I'm using AoC2021 as an excuse to learn Rust (and maybe some other languages). Please do *not* use this repository as a good source
A bunch of commented Anchor programs and JavaScript tests, to help me learn Anchor.
learning-anchor A bunch of commented Anchor programs and JavaScript tests, to help me learn Anchor.
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
Learning rust by coding different sorting algorithms in it
Sorting in Rust Sorting a 32 bit unsigned integer vector by using: Radix Sort Quick Sort Merge Sort Bubble Sort Inbuilt Sort (Probably Tim Sort) This
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
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
mBrowser is a toy browser developed from scratch for learning purpose.
mBrowser is a toy browser developed from scratch for learning purpose.
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
Self Study on developing a game engine using wgpu as the rendering API. Learning as I go.
Fabled Engine Any issues, enhancement, features, or bugs report are always welcome in Issues. The obj branch is where frequent development and up to d
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
miniature: a toy deep learning library written in Rust
miniature: a toy deep learning library written in Rust A miniature is a toy deep learning library written in Rust. The miniature is: implemented for a
Rust Language Learning material
RustMaterial Rust Language Learning material Rust Rust is blazingly fast systems programming language that prevents segfaults and guarantees thread sa
Bril: A Compiler Intermediate Representation for Learning
Bril: A Compiler Intermediate Representation for Learning Bril (the Big Red Intermediate Language) is a compiler IR made for teaching CS 6120, a grad
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
A small operating system, for my own learning
taos This project is the result of following Philipp Oppermann's series of tutorials in building a small operating system kernel targeting x86-64, alo
⌚ A command-line tool (and library) for the rusty Swatch Internet Time.
⌚ A command-line tool (and library) for the rusty Swatch Internet Time. Comes with XBar/Swiftbar support.
A learning project/fun experiment in internet protocol
Piper a learning project/fun experiment in internet protocol Version 0.4.0 (SEMVER) Goals Piper is Simple. A page is a page. There are no secondary re
A repo for learning rust
learnrust A repo for learning rust Topics: print basic print function. datatypes get to know what is datatypes. variables variables!!!. consts consts
🦀 my exploration and learning journey with Rust
🦀 Rust Tutorials Welcome to a repository of my exploration of Rust, using the "The Rust Programming Language" tutorial book! This repo is partially f
My journey of learning rust as a web developer.
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 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
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
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
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
🚀 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
Warp is a blazingly fast, Rust-based terminal that makes you and your team more productive at running, debugging, and deploying code and infrastructure.
Warp is a blazingly fast, Rust-based terminal that makes you and your team more productive at running, debugging, and deploying code and infrastructure.
A utility like pkg-audit for Arch Linux. Based on Arch Security Team data.
arch-audit pkg-audit-like utility for Arch Linux. Based on data from security.archlinux.org collected by the awesome Arch Security Team. Installation
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
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
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, 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.