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  1. A python tutorial for a Bayesian treatment of Linear Regression:

    Jupyter Notebook 55 29

  2. Forked from openai/InfoGAN

    Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

    Python 18 9

  3. A collection of toy deep learning examples for quick experimentation

    Jupyter Notebook

  4. Forked from markdregan/Bayesian-Modelling-in-Python

    A python tutorial on bayesian modeling techniques (PyMC3)

    Jupyter Notebook 2

  5. Python package for 2D collision handling of circles


13 contributions in the last year

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Contribution activity

October 2020

Created an issue in apache/incubator-mxnet that received 6 comments

Variable sequence length not handled correctly for BiDirectional layers

Description There are a couple of different issues related to the use of use_sequence_length in the _RNNLayer. It doesn't seem to be usable by GRU…


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