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santacruzAI/MLPhasesOfMatter
santacruzAI/MLPhasesOfMatter PublicPyTorch implementation of the paper "Machine Learning Phases of Matter", by Juan Carrasquilla and Roger Melko.
Jupyter Notebook 4
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Unsupervised-Representation-Learning
Unsupervised-Representation-Learning PublicTensorFlow implementations of unsupervised representation learning algorithms, including denoising autoencoders, sparse dictionary learning, and Independent Component Analysis
Python 3
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Deep-Generative-Models
Deep-Generative-Models PublicKeras and Theano implementations of various Deep Generative Models(e.g. Variational Autoencoders, Restricted Boltzmann Machines, and Generative Adversarial Networks)
Python 2
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Probabilistic-Programming
Probabilistic-Programming PublicProbabilistic Programming with TensorFlow Probability, Edward and maybe(?) Pyro
Python 1
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