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  1. Machine learning models for time series analysis

    Python 324 100

  2. Python library for Bayesian hyper-parameters optimization

    Python 80 21

  3. All notes and materials for the CS229: Machine Learning course by Stanford University

    Jupyter Notebook 565 330

  4. All notes and materials for the CS229: Machine Learning course by Stanford University

    HTML 60 29

  5. All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

    HTML 221 117

  6. All lecture notes and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford

    12 9

1,146 contributions in the last year

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August 2022

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