Rust Semi-supervised-learning Resources

mnist-classifier Ideas UPDATED: Finish CLI Flags Parallelize conputationally intensive functions Class-based naive bayes README Image parsing Confusio

Extended Isolation Forest This is a rust port of the anomaly detection algorithm described in Extended Isolation Forest and implemented in https://git

kddbscan-rs Rust implementation of the kddbscan clustering algorithm. From the authors of kDDBSCAN algorithm. Due to the adoption of global parameters

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

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 Kubernetes Repository with official tools to aid the deployment of H2O Machine Learning platform to Kubernetes. There are two essential tools to b

Pair Adjacent Violators for Rust Overview An implementation of the Pair Adjacent Violators algorithm for isotonic regression. Note this algorithm is a

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

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

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

toyDB Distributed SQL database in Rust, written as a learning project. Most components are built from scratch, including: Raft-based distributed conse

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 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. A search engine written in Rust. Current Features: Bu

Rust advent 🦀 🐚 Learning Rust by implementing solutions for Advent of Code problems. 🎥 HEY, we are live-streaming our attempts to solve the exercis

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

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

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

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

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

rust-practice 🦀 Practice repo for learning Rust. Directories /rust-for-js-dev Files directed towards "Rust for JavaScript Developers" course. Thank y

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

🎄 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

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

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 Tutorials This repository contains the information of Learning Rust playlist in my youtube channel. Learning Rust(part. 1)! Installation on Ubunt

Rusty Temperature Converter This is the pet project Convert Fahrenheit to Celsius and vice versa 🌡️ The program was implemented in the course of stud

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

learning-anchor A bunch of commented Anchor programs and JavaScript tests, to help me learn Anchor.

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

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 with SmartCore AutoML is Automated Machine Learning, referring to processes and methods to make machine learning more accessible for a general

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.

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

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

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 A miniature is a toy deep learning library written in Rust. The miniature is: implemented for a

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 (the Big Red Intermediate Language) is a compiler IR made for teaching CS 6120, a grad

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

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

Discrust Supervised discretization in Rust The discrust package provides a supervised discretization algorithm. Under the hood it implements a decisio

⌚ A command-line tool (and library) for the rusty Swatch Internet Time. Comes with XBar/Swiftbar support.

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

learnrust A repo for learning rust Topics: print basic print function. datatypes get to know what is datatypes. variables variables!!!. consts consts

🦀 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 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

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

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

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

🚀 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

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

ffs: the file filesystem ffs, the file filessytem, let's you mount semi-structured data as a fileystem---a tree structure you already know how to work

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

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

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