tmu
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 written in Python with wrappers for C and CUDA-based clause evaluation and updating.
https://github.com/cair/pytsetlinmachine
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
https://github.com/cair/pytsetlinmachineparallel
Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.
kr-sat-solver
A built-from-scratch Python-based SAT Solver implementing the DPLL-recursive algorithm. Research and implementations for the Knowledge Representation course at Vrije Universiteit Amsterdam
https://github.com/cair/tsetlinmachine
Code and datasets for the Tsetlin Machine
https://github.com/cair/convolutional-tsetlin-machine-tutorial
Tutorial on the Convolutional Tsetlin Machine