Simple neural network implementation in Rust

MNIST data set parser https://crates.io/crates/mnist

spiking neural network

MNIST trained in rust using the fann library

Demo of tsetlin on the MNIST character data set that uses genetic and multi-threading. Derived from Ole-Christoffer Granmo.

Small scalar autograd engine, inspired from Karpathy's micrograd, with some additional features, such as more activation functions, optimizers and loss criterions.

A neural network project written in Rust.

vanilla, simple, node-oriented, compositive, optimized, frameworkn't{torchn't, TFn't, candlen't}

MNIST digit classification with hypervectors

MLP in Rust from scratch

MNIST Inference Web App Using burn and Leptos

generating mnist-like handwritten numbers using ML methods!

Ground-up implementations of neural network and SVM for classifying MNIST dataset

A Rust library with homemade machine learning models to classify the MNIST dataset. Built in an attempt to get familiar with advanced Rust concepts.

Detect hand-written digits using deep learning

A GPU-accelerated AI library built in Rust and an online playground to use it to recognize digits.

Experiments with perceptron models on MNIST.

A Neural Network implementation from scratch built in Rust, designed to work with the MNIST dataset of handwritten digits.

Reads generic data and label files in the MNIST file format for Rust.