A powerful and easy to use Python framework for experiment tracking and incremental computing
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Updated
Jun 14, 2024 - Python
A powerful and easy to use Python framework for experiment tracking and incremental computing
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…
Scalable and Approximate Pattern Matching for Billion-Scale Property Graphs
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