Official repository of the xLSTM.
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Updated
Dec 11, 2024 - Python
Official repository of the xLSTM.
Implementation of "FACTS: A Factored State-Space Framework For World Modelling"
Contains code for the paper "MaTPIP: a deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction"
This project showcases the implementation and comparison of Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) for image classification on the MNIST and Fashion MNIST datasets. It includes experiments with hyperparameter tuning, model evaluation through accuracy/loss plots, and confusion matrices.
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