Rust Networks Resources

nnli Interactively explore onnx networks in your CLI. Get nnli 🎉 From Cargo cargo install nnli From Github git clone https://github.com/drbh/nnli.git

CDR Toolkit Un toolkit creado para la asignatura Comunicación de Datos y Redes, cursada en la UIB. Es una potente y rápida CLI que ayuda a realizar lo

Crates Registry Description Crates Registry is a tool for serving and publishing crates and serving rustup installation in offline networks. (like Ver

Flappy Bird AI AI learns to play flappy bird. This is a neuro-evolution simulation of flappy birds implemented in rust using macroquad Demo Usage Clon

Holo is a suite of routing protocols designed to support high-scale and automation-driven networks. For a description of what a routing protocol is, p

Smol Rust RWKV What is it? A simple example of the RWKV approach to language models written in Rust by someone that knows basically nothing about math

fólkvangr A distributed network for cloud-native services About Fólkvangr started out as a way to build social networks that were secure and decentral

Tiny CLI for submitting large calldata transactions to EVM networks to stress test the networking layer. Main motivation: EIP4844blobs.

stress4844 Tiny CLI for submitting large calldata transactions to EVM networks to stress test the networking layer. Main motivation: EIP4844 blobs. ca

resolved resolved (pronounced "resolved", not "resolved") is a simple DNS server for home networks. To that end, it supports: Recursive and non-recurs

Smarty Pants This goal of this library is to: Produce NeuralNetworks that will always give the same result when given the same input. Provide methods

NEATeRS NEATeRS is a library for training a genetic neural net through reinforcement learning. It uses the NEAT algorithm developed by Ken Stanley whi

Run If you need to, set up your Substrate development environment . Then, build and run a development chain: $ cargo run -- --dev --tmp Once the node

descent Toy library for neural networks in Rust using Vulkan compute shaders. Features Multi-dimensional arrays backed by Vulkan device memory Use Rus

The Fastest and most Advanced Ethereum Client. » Download the latest release « Table of Contents Description Technical Overview Building 3.1 Building

Darwinia Runtime Overrides USAGE: runtime-overrides [OPTIONS] --runtime CHAIN OPTIONS: -h, --help Print help information

n2 is a library implementation of a feedforward, backpropagation artificial neural network. Usage Add the following to the [dependencies] section o

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

Rust library for random graph ensembles Minimal Rust version: 1.55.0 Implements simple sampling and monte carlo (or rather markov-) steps, that can be

udp53_lookup Test the interception/filter of UDP 53 of your local networks or hotspots. Inspired by BennyThink/UDP53-Filter-Type . What's the purpose?

Blackmarlin WIP UCI Chess Engine Blackmarlin is a chess engine fully written in Rust. Make sure to compile the chess engine with cargo build --release

Matchbox Painless peer-to-peer WebRTC networking for rust wasm applications. The goal of the Matchbox project is to enable udp-like, unordered, unreli

Neuronika is a machine learning framework written in pure Rust, built with a focus on ease of use, fast prototyping and performance. Dynamic neural ne

Sonos' Neural Network inference engine. This project used to be called tfdeploy, or Tensorflow-deploy-rust. What ? tract is a Neural Network inference

xaynet Xaynet: Train on the Edge with Federated Learning Want a framework that supports federated learning on the edge, in desktop browsers, integrate

A One-Stop Large-Scale Graph Computing System from Alibaba GraphScope is a unified distributed graph computing platform that provides a one-stop envir

Mushin: Compile-time creation of neural networks Mushin is a Japanese term used in martial arts that refers to the state of mind obtained by practice.

GAMMA Compile-time creation of neural networks with Rust Description This is for now just a showcase project of what can be done with const generics i

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

dpar Introduction dpar is a neural network transition-based dependency parser. The original Go version can be found in the oldgo branch. Dependencies

revonet Rust implementation of real-coded genetic algorithm for solving optimization problems and training of neural networks. The latter is also know

Cogent A note I continue working on GPU stuff, I've made some interesting things there, but ultimately it made me realise this is far too monumental a

autograph Machine Learning Library for Rust undergoing maintenance Features Portable accelerated compute Run SPIR-V shaders on GPU's that support Vulk

deeplearn-rs Deep learning in Rust! This is my first shot at this. It's mostly just a proof of concept right now. The API will change. Status We have

Sonos' Neural Network inference engine. This project used to be called tfdeploy, or Tensorflow-deploy-rust. What ? tract is a Neural Network inference

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

revonet Rust implementation of real-coded genetic algorithm for solving optimization problems and training of neural networks. The latter is also know

Deprecated Bridges This repo is deprecated. Originally it contained the ETH ETH-PoA bridge (see tumski tag). Later it was repurposed for ETH-PoA