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Deep-Learning-for-Spacetime-Classification
Deep-Learning-for-Spacetime-Classification PublicThis project applies machine learning techniques to the classification of spacetimes in the context of general relativity, specifically addressing the Petrov classification of the Weyl tensor
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IsingModelBoltzmannMachine
IsingModelBoltzmannMachine PublicUsing Monte-Carlo simulated datasets, a completely transparent Boltzmann Machine trained on 1-D Ising chain data is implemented to predict model couplers in the absence of past coupler values. Meth…
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LinearRegressionFromScratch
LinearRegressionFromScratch PublicAn investigation of basic linear regression that contrasts gradient descent with analytical answers. shows off fundamental machine learning algorithms on fictitious datasets for learining purposes.
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MultiLabelClassifierPyTorch
MultiLabelClassifierPyTorch PublicThis PyTorch project sorts even MNIST numbers into groups. It shows how to train a neural network with hyperparameters that can be set in JSON, prepare data, and test its performance. It shows how …
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BitWiseLearner
BitWiseLearner PublicAn innovative project utilizing Recurrent Neural Networks (RNNs) to perform multiplication on binary integers. This repository showcases how deep learning can understand and execute fundamental ari…
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