December 1, 2019

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yandexdataschool/mlhep2019

yandexdataschool/mlhep2019

MLHEP'19 slides and notebooks

repo name yandexdataschool/mlhep2019
repo link https://github.com/yandexdataschool/mlhep2019
homepage
language Jupyter Notebook
size (curr.) 295748 kB
stars (curr.) 31
created 2019-06-21
license MIT License

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
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