Rust Deep-learning-test Resources

assert_json A easy and declarative way to test JSON input in Rust. assert_json is a Rust macro heavily inspired by serde json macro. Instead of creati

delay_timer-test some test for crate delay_timer crate link: https://github.com/BinChengZhao/delay-timer here some test for delay_timer,also used for

osm2lanes See discussion for context. This repo is currently just for starting this experiment. No license chosen yet. Structure data tests.json—tests

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

grpc-example Simple project to test grpc between ruby (client) and rust (server). Usage To simplify a lot this project uses docker and docker compose

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. 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-dylib-test Steps Run cargo build in plugin_a Ensure that plugin_a dynamically links to runtime/common by otool -L plugin_a/target/debug/libplugin

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

regex-tui Structure src/ ├── app.rs - holds the states and renders the widgets ├── event.rs - handles the terminal events (key press, mouse cl

Wait Service Wait Service is a pure rust program to test and wait on the availability of a service.

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

A series of test cases to evaluate async Rust on the nrf52840 in terms of power usage and ergonomics. This is an experiment that uses unstable features only available on nightly rust.

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

This is a fork the unmaintained crate spectral. Spectral as not changed for five years and yet is still very usable, the goal of this fork is to add n

PSP Test App Simple test app based on rust-psp. Demonstrating the usage of C libs. Build Download and unzip the prebuilt PSPSDK (built from clang-psp)

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

flaky_test This attribute macro will register and run a test 3 times, erroring only if all three times fail. Useful for situations when a test is flak

This article is in-development and will be released in full form soon. It'll appear on Medium (my publisher likes that), with this as a the accompanyi

🚀 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 implementation of the Cucumber testing framework for Rust. Fully native, no external test runners or dependencies.

heckcheck A heckin small test generator API Docs | Releases | Contributing Installation $ cargo add heckcheck Safety This crate uses #![deny(unsafe_co

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

To find out the fastest way to create an SQLite DB with 1B random rows.

Competitive Programming Stress Test Tools 競技プログラミング用 ストレステストツール このプログラムの役割 のプログラムに対して，それより実行時間がかかるが確実に できる愚直プログラムと比較することで， となるテストケースを探し出す 最大コーナーケースに対し

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

Share Preview Test social media cards locally Description Preview and debug websites metadata tags for social media share. Third Party Packages Distri

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

ttyper Ttyper is a terminal-based typing test built with Rust and tui-rs. installation With Cargo: cargo install ttyper usage For usage instructions,

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

SQLX User CRUD Purpose This application demonstrates the how to implement a common design for CRUDs in, potentially, a system of microservices. The de

split-test split-test splits tests into multiple groups based on timing data to run tests in parallel. Installation Download binary from GitHub releas

link link is a command and control framework written in rust. Currently in alpha. Table of Contents Introduction Features Feedback Build Process Ackno

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

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

description: create and test the style and formatting of text in your terminal applications docs: https://docs.rs/termstyle termstyle is a library tha

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

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