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  1. santacruzAI/MLPhasesOfMatter santacruzAI/MLPhasesOfMatter Public

    PyTorch implementation of the paper "Machine Learning Phases of Matter", by Juan Carrasquilla and Roger Melko.

    Jupyter Notebook 4

  2. Unsupervised-Representation-Learning Unsupervised-Representation-Learning Public

    TensorFlow implementations of unsupervised representation learning algorithms, including denoising autoencoders, sparse dictionary learning, and Independent Component Analysis

    Python 3

  3. Deep-Generative-Models Deep-Generative-Models Public

    Keras and Theano implementations of various Deep Generative Models(e.g. Variational Autoencoders, Restricted Boltzmann Machines, and Generative Adversarial Networks)

    Python 2

  4. PyTorch-Tutorials PyTorch-Tutorials Public

    Getting acquainted with PyTorch

    Python 1

  5. Probabilistic-Programming Probabilistic-Programming Public

    Probabilistic Programming with TensorFlow Probability, Edward and maybe(?) Pyro

    Python 1