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Pinned

  1. A user-centered Python package for differentiable probabilistic inference

    Python 167 29

  2. Bayesian Effective Connectivity

    Jupyter Notebook 50 13

  3. A python toolbox for GP analysis written in a functional programming style

    Jupyter Notebook 20 6

  4. This is a simple Chainer implementation of the Wasserstein GAN on MNIST digits.

    Jupyter Notebook 5 2

  5. ∇#: A minimalistic automatic differentiation package for C#

    C#

  6. A simple package for algebraic manipulation of Taylor series. It allows to sum, multiply, divide and compose Taylor series automatically.

    Python 1

207 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Mon Wed Fri
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Contribution activity

August 2019

3 contributions in private repositories Aug 7 – Aug 13

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