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GitHub topics: relational-logic

cair/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.

Language: Python - Size: 300 MB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 145 - Forks: 20

martinsvat/Pruning-Hypotheses

Implementation of pruning hypothesis space using domain theories -- M. Svatoš, G. Šourek, F. Zeležný, S. Schockaert, and O. Kuželka: Pruning Hypothesis Spaces Using Learned Domain Theories, ILP'17

Language: Java - Size: 22.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Related Keywords
relational-logic 2 search-algorithm 1 rule-learning 1 pruning 1 first-order-logic 1 tsetlin-machine 1 sparse 1 regression 1 propositional-logic 1 pattern-recognition 1 multi-output 1 incremental-computation 1 incremental 1 gpu 1 cuda 1 convolution 1 autoencoder 1 absorbing-states 1