Rust Neural-network-example Resources

innernet A private network system that uses WireGuard under the hood. See the announcement blog post for a longer-winded explanation. innernet is simi

Alfis Alternative Free Identity System This project represents a minimal blockchain without cryptocurrency, capable of sustaining any number of domain

Secret-Monero-Bridge A value transfer bridge between the Monero blockchain and the Secret Network. Proof-of-Concept Video Demonstration: https://ipfs.

🎨 texture-synthesis A light Rust API for Multiresolution Stochastic Texture Synthesis [1], a non-parametric example-based algorithm for image generat

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

fann-rs Rust wrapper for the Fast Artificial Neural Network (FANN) library. This crate provides a safe interface to FANN on top of the low-level bindi

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

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

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

NeuroFlow is fast neural networks (deep learning) Rust crate. It relies on three pillars: speed, reliability, and speed again. Hello, everyone! Work o

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

RustNN An easy to use neural network library written in Rust. Crate Documentation Description RustNN is a feedforward neural network library. The libr

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

Nethoscope Employ your built-in wetware pattern recognition and signal processing facilities to understand your network traffic. Check video on how it

SNOCAT Streaming Network Overlay Connection Arbitration Tunnel snocat is a framework for forwarding streams across authenticated, encrypted QUIC tunne

FeoBlog FeoBlog is a distributed blogging platform. It takes a lot of its inspiration from Mastodon and Scuttlebutt. It aims to solve a couple of prob

quiche is an implementation of the QUIC transport protocol and HTTP/3 as specified by the IETF. It provides a low level API for processing QUIC packet

protocol Documentation Easy protocol definitions in Rust. This crate adds a custom derive that can be added to types, allowing structured data to be s

netsim - A Rust library for network simulation and testing (currently linux-only). netsim is a crate for simulating networks for the sake of testing n

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

Radiate Coming from Evolutionary Radiation. Evolutionary radiation is a rapid increase in the number of species with a common ancestor, characterized

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

Java/Rust Example An example project showing how to call into Rust code from Java. OSX Linux Windows Requirements Java 7+ Rust (tested with 1.0, night

Provides an example for using Rust in Haskell. To use this you'll need cargo, rustc, cabal and GHC installed. To execute the example run the following

An example of using CMake with Rust. Try it! mkdir build cd build cmake .. -DCMAKE_INSTALL_PREFIX=/tmp make -j make test -j make doc -j make install

sniffglue sniffglue is a network sniffer written in rust. Network packets are parsed concurrently using a thread pool to utilize all cpu cores. Projec

rshijack tcp connection hijacker, rust rewrite of shijack from 2001. This was written for TAMUctf 2018, brick house 100. The target was a telnet serve

badtouch badtouch is a scriptable network authentication cracker. While the space for common service bruteforce is already very well saturated, you ma

Phala Blockchain Phala Network is a TEE-Blockchain hybrid architecture implementing Confidential Contract. This repo includes: node/: the main blockch

Nervos CKB - The Common Knowledge Base master develop About CKB CKB is the layer 1 of Nervos Network, a public/permissionless blockchain. CKB uses Pro

Note to readers: On December 1, 2020, the Libra Association was renamed to Diem Association. The project repos are in the process of being migrated. A