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  1. Solutions of the exercises and problems from Michael Nielsen's book Neural Networks and Deep Learning: http://neuralnetworksanddeeplearning.com/

    Jupyter Notebook 45 14

  2. Fast − O(n log n) − approximation algorithms for 3D geometric problems: closest and furthest pairs in a point cloud, aesthetically pleasing 2D drawings of 3D graphs

    Java

  3. Prediction of signal peptide cleavage sites using supervised learning

    C++ 1

  4. Numerical resolution of a few PDEs using Markov Chains.

    Jupyter Notebook

37 contributions in the last year

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Contribution activity

June 2020

TimotheeChauvin has no activity yet for this period.

May 2020

2 contributions in private repositories May 16 – May 17

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