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MLHEP'19 slides and notebooks

License: MIT License

Python 0.12% Jupyter Notebook 99.27% TeX 0.61%

mlhep2019's Introduction

MLHEP2019

MLHEP'19 slides and notebooks

Open In Colab

Seminars:

  • Day 1:
    • Figures of Merit, overfitting (MLE vs MAP vs AP) Open In Colab
  • Day 2:
    • Ensembles of models; bagging, boosting, random forest Open In Colab
    • Clustering Open In Colab
  • Day 3:
    • Computing gradient by hand. Pytorch Open In Colab
    • Convolutional Neural Networks Open In Colab;
    • Model Zoo: Open In Colab
  • Day 4:
    • Bayesian 2 Open In Colab
  • Day 5
    • Learning to Pivot:
      • toy example 1: Open In Colab
      • toy example 2: Open In Colab
      • toy example 3: Open In Colab
      • SUSY exercise: Open In Colab
    • Language modeling Open In Colab
    • Tracking Open In Colab
  • Day 6
    • Introductory example 1 : Open In Colab
    • Introductory example 2 : Open In Colab
    • Practice : Open In Colab
    • GANs 1 Open In Colab
    • GANs 2 Open In Colab
    • GANs 3 Open In Colab
  • Day 8
    • Black-Box:
      • ABO: Open In Colab
      • AVO: Open In Colab
    • NN optimisation
      • 1-scikit-search: Open In Colab
      • 2-skorch: Open In Colab
      • 3-bayesian_optimization: Open In Colab
      • 4-skorch_comet: Open In Colab
      • 5-skorch_skopt_comet: Open In Colab
    • Independence of NN classifier from a continuous parameter: Open In Colab

mlhep2019's People

Contributors

hushchyn-mikhail avatar mborisyak avatar anaderi avatar justheuristic avatar nadiinchi avatar riabenko avatar mzgubic avatar silikhon avatar

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