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  1. Solution for Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)

    Python 7 1

  2. BAOlab: C++ toolbox for the statistical analysis of galaxy surveys

    C++

  3. Solution for Challenge "Nomad2018 Predicting Transparent Conductors" (using CNNs, SVR + model stacking)

    Jupyter Notebook 3

  4. Forked from academicpages/academicpages.github.io

    My webpage: https://alabatie.github.io/

    JavaScript

  5. Code for the paper “Characterizing Well-behaved vs. Pathological Deep Neural Networks“ published in 36th International Conference on Machine Learning (ICML 2019): https://arxiv.org/abs/1811.03087

    Jupyter Notebook 4 1

81 contributions in the last year

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March 2020

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