M

Rust Machine Learning

Machine Learning crates, modules, and libraries.

Latest

Integer-Hoeffding

This is Wassley Hoeffding's 1948 equation for detecting -frequently nonlinear- relationships in data or variables

Integer-Hoeffding

wildonionunixerr

Export cassandra table into csv file:

wildonionunixerr

MTCNN face detection in rust

This crate implements MTCNN facial and facial feature detection in the rust programming language

MTCNN face detection in rust

The neural network

Builds on top of PyTorch through the C++ API of 'tch-rs'

The neural network

Composable Entropy Coding Primitives for Research and Production

The constriction library provides a set of composable implementations of entropy coding

Composable Entropy Coding Primitives for Research and Production

Fitting a basic neural network to samples of a simple function using the tch crate

Fitting a basic neural network to samples of a simple function using the

Fitting a basic neural network to samples of a simple function using the tch crate

Coming from Evolutionary Radiation

This NEAT implementation also includes a backpropagation function which operates much like traditional neural networks which propagate the input error back through the network to...

Coming from Evolutionary Radiation

This is a chess engine: a computer program which plays chess

Most chess engines use alpha-beta search, but Sashimi uses Monte Carlo Tree Search (MCTS)

This is a chess engine: a computer program which plays chess

DeepFrog - NLP Suite

Whereas the various NLP modules in Frog wre built on k-NN classifiers, DeepFrog builds on deep learning techniques and

DeepFrog - NLP Suite
Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigram...

PROPHET - Neural Network Library

A supervised learning crate for Rust, that's still being developed but works perfectly otherwise

PROPHET - Neural Network Library

Rust middleware for serving deep learning models with batched prediction

🙌 Easy to tune: simply adjust max_delay and max_batch_size

Rust middleware for serving deep learning models with batched prediction

rust-dl-webserver

This project provides an example of serving a deep learning model with batched prediction using Rust

rust-dl-webserver

An efficient implementation of Partitioned Label Trees (Prabhu et al

, 2018) and its variations for extreme multi-label classification, written in Rust🦀 with love💖

An efficient implementation of Partitioned Label Trees (Prabhu et al

Perceptron Learning Algorithm

A perceptron is just a recurrently-activated neural network that finds useful features or business intelligence in input data

Perceptron Learning Algorithm

A simple implementation of an AI game player inspired by AlphaZero

To get started, make sure Rust and sqlite3 are installed

A simple implementation of an AI game player inspired by AlphaZero

This crate implements feedforward-neural Networks in rust

A basix XOR training example might look like this:

This crate implements feedforward-neural Networks in rust

Science fiction space trading/smuggling simulation game using procedural generation

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes

Science fiction space trading/smuggling simulation game using procedural generation

rust-machine-learning-api-example

Example of Rust API for Machine Learning

rust-machine-learning-api-example
Facebook Instagram Twitter GitHub Dribbble
Privacy