mlp

Deep Learning library written in Rust (OpenCL, CUDA & CPU)

Brique.rs is a toy project with the objective of implementing a MLP in rust without the use of any other lib outside of the std lib of rust

Educational neural-network implementations in Rust and Swift for MNIST, CIFAR-10, XOR, manual backprop, CNN/MLP/self-attention paths, plus Python visualization and companion MLX-based Swift workflows.

Educational Rust CLI for building, training, and visualizing simple neural networks (SLP & MLP) from scratch. Includes synthetic data generation, normalization, model training, prediction, and training history visualization. Ideal for learning Rust and neural networks.

Research project comparing Kolmogorov-Arnold Networks vs MLPs across chess engines, computer vision, and anomaly detection using Rust.

A minimal neural network that learns XOR from scratch using only the Rust standard library + rand.

Chess-inspired algorithm for image ranking.

Meuron is a modular neural network library written in rust for training simple neural networks.

MLP in Rust from scratch

An open encoding engine for immersive audio: object masters to a lossless TrueHD/MLP stream carrying object metadata. Pure Rust, headless, GPL-3.0-or-later.

Basic Roguelike game with an MLP neural-network trained to control in-game entities.

A Beginner's implementation of Andrej karpathy's micrograd in Rust.

A from-scratch implementation of an MLP with a computation graph engine in Rust and WebAssembly.

An Evolutionary Artificial Neural Network implemented in Rust designed to learn and play the Snake game.

Halfmoons dataset - perceptron, least squares, GMM and RBF solutions.

Neural network from scratch in Rust: a reverse-mode scalar autograd engine and a tiny MLP trained on XOR