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Focused on Secure Multiparty Computation
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Focused on Secure Multiparty Computation

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  1. Pyfhel Pyfhel Public

    PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as bac…

    Cython 490 78

  2. VariationalAutoencoders VariationalAutoencoders Public

    Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

    Jupyter Notebook 26 16

  3. knowhow knowhow Public

    A series of notebooks, lists, tips and documents covering my knowhow on ML, DS and programming. Migrated to the blog.

    Python 2

  4. DataSciencePortfolio DataSciencePortfolio Public

    Data Science portfolio of ipython Notebooks with several Machine Learning algorithms. They follow a structured data science methodology to face various challenges

    Jupyter Notebook 7 2

  5. reparametrization-BN reparametrization-BN Public

    Reparametrization of Fully Connected and Convolutional layers to completely absorb subsequent Batch Normalization layers. Example using Tensorflow.

    HTML 5

  6. funshade funshade Public

    Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.

    C 13 4