A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
Gradient Descent Optimizers and Genetic Algorithms using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
Neural network and matrix library with parallized learning build from the ground up. Educational project.
This project is the first step into AI and Machine Learning under 42 curriculum at Hive Helsinki. Basic machine learning algorithm and program that predicts the price of a car by using a linear regression function with a gradient descent algorithm.
An implementation of a Linear gradient descent in rust
A lightweight Rust implementation of logistic regression, built for performance and clarity.
A Neural Network implementation from scratch built in Rust, designed to work with the MNIST dataset of handwritten digits.
The ultimate parameter optimizer (non-linear regression program)
Rust implementation of the Adaline artificial neural network algorithm for educational purposes.
trying out neural network with classic MNIST data set
Neural networks & AI project
A linear regression implementation
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