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Title: GitHub - 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.

Open Graph Title: GitHub - 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.

X Title: GitHub - 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.

Description: 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. - cair/tmu

Open Graph Description: Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause...

X Description: Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause...

Opengraph URL: https://github.com/cair/tmu

X: @github

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https://patch-diff.githubusercontent.com/cair/tmu#features
Tsetlin Machinehttps://arxiv.org/abs/1804.01508
Coalesced Tsetlin Machinehttps://arxiv.org/abs/2108.07594
Convolutional Tsetlin Machinehttps://arxiv.org/abs/1905.09688
Regression Tsetlin Machinehttps://royalsocietypublishing.org/doi/full/10.1098/rsta.2019.0165
Weighted Tsetlin Machinehttps://ieeexplore.ieee.org/document/9316190
Autoencoderhttps://arxiv.org/abs/2301.00709
Relational Tsetlin Machinehttps://link.springer.com/article/10.1007/s10844-021-00682-5
Support for Continuous Featureshttps://arxiv.org/abs/1905.04199
Drop Clausehttps://arxiv.org/abs/2105.14506
Literal Budgethttps://arxiv.org/abs/2301.08190
Focused Negative Samplinghttps://ieeexplore.ieee.org/document/9923859
Type III Feedbackhttps://arxiv.org/abs/2309.06315
Sparse Computation with Absorbing Actionshttps://arxiv.org/abs/2310.11481
In Progresshttps://arxiv.org/abs/2309.04801
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