The Fuzzy-Pattern Tsetlin Machine library, with zero external dependencies, performs blazingly fast.
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Updated
Apr 3, 2026 - Julia
The Fuzzy-Pattern Tsetlin Machine library, with zero external dependencies, performs blazingly fast.
Code repository for my master thesis experiments.
Fuzzy-Pattern Tsetlin Machine: a paradigm shift in the Tsetlin Machine family of algorithms.
Tsetlin Machine for Logical Learning and Reasoning With Graphs
A Python framework for N-agent collective learning using Tsetlin Machines and synthetic data sharing, supporting zero-shot sensor onboarding and LLM-driven feature extraction.
Code and datasets for the Tsetlin Machine
High-performance Tsetlin Machine in Rust. Const generics, bitwise SIMD, zero-alloc inference. 25-92x faster clause evaluation.
Portfolio assessment for IKT457 - Learning Systems, Autumn 2025
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…
PyCUDA implementation of the Coalesced Multi-Output Tsetlin Machine
Welcome to the repo for our 2025 UiA Master Thesis - Anomaly Detection in Wind Turbine SCADA Data Using Tsetlin Machine Autoencoder and Classifier 🔬
Tsetlin Machine-based indoor localization using BLE RSSI fingerprinting.
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
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 solution to predict the winner of a Hex board game at different stages. Utilizes graph-based board representations and custom datasets for training.
Code for UiA Learning Systems Course, including Tsetlin Machines and Bayesian Networks. 🧑🔬
Plug-and-play collaboration between specialized Tsetlin machines
Efficient parallelized implementation of Multilabel Classifier and Regressor Tsetlin Machines
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