Implementation of the Regression Tsetlin Machine
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Updated
May 14, 2019 - Python
Implementation of the Regression Tsetlin Machine
Predicting Win/Loss/Draw on the Connect Four dataset with Tsetlin Machines
University project in the course ICT Seminar 3. Using Tsetlin Machine for Pattern Recognition in the game Connect Four.
Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.
Master's thesis project, University of Agder, Spring 2020, Checkers game classification by the use of Tsetlin Machine.
Tutorial on the Convolutional Tsetlin Machine
Massively Parallel and Asynchronous Architecture for Logic-based AI
Plug-and-play collaboration between specialized Tsetlin machines
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.
Non-official Tsetlin Machine replication from the original paper. Tsetlin Machine are an interpretable and promising machine learning paradigm to enhance AI transparency.
Tsetlin Machine-based indoor localization using BLE RSSI fingerprinting.
Tsetlin Machine for Logical Learning and Reasoning With Graphs
PyCUDA implementation of the Coalesced Multi-Output Tsetlin Machine
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…
Code repository for my master thesis experiments.
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