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  1. A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

    Python 2.1k 404

  2. Sampling with Mirrored Stein Operators

    Jupyter Notebook

  3. Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)

    Jupyter Notebook 16 1

  4. Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions"

    Python 27 8

  5. Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

    Python 38 3

146 contributions in the last year

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Contribution activity

August 1, 2021

thjashin has no activity yet for this period.

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