Code and datasets for the Tsetlin Machine

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget

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…

Tsetlin Machine for Logical Learning and Reasoning With Graphs

Tutorial on the Convolutional Tsetlin Machine

Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

PyCUDA implementation of the Coalesced Multi-Output Tsetlin Machine

A C implementation of the Tsetlin Machine

Massively Parallel and Asynchronous Architecture for Logic-based AI

Plug-and-play collaboration between specialized Tsetlin machines

The Tsetlin Machine library, with zero external dependencies, performs blazingly fast.

A CUDA implementation of the Tsetlin Machine based on bitwise operators

Source code for my results in my Master Thesis

Implementation of the Regression Tsetlin Machine

PyTsetlin

Open Source Tsetlin Machine framework

Tsetlin Machine-based solution to predict the winner of a Hex board game at different stages. Utilizes graph-based board representations and custom datasets for training.

Various AIs for the board game hex, including Monte Carlo Tree Search with the Tsetlin Machine