Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is writ…

A Micro-Expression Analysis Network (MEAN) to spot-then-recognize micro-expressions

PyTorch Implementation of a Multi-Output Neural Network on the UTK Face Dataset to predict a person's age (range), ethnicity, and gender.

Multi-output boolean function optimal syhnthesys

Convex optimization course _ Final project _ Article implementation

A simple program allowing a midi device to have multiple outputs on Windows.

This project aims to predict the final grades (G2 and G3) of students based on various factors such as age, study time, family support, and more.It utilizes machine learning techniques to make predictions and offers insights into the factors affecting students' grades.

SEFEE: Storage Error Forecasting using tEnsor dEcomposition

This is an experiment that aims to compare between: MultiOutput Classifier VS Classifier Chain

A multi-target regression algorithm based on Gaussian process regression