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Tutorials

449 items from ujjwalkarn/machine-learning-tutorials ★18,265

  1. Bayesian Methods for Hackers github.com

    by Cameron Davidson-Pilon. Introduction to Bayesian methods and probabilistic graphical models using tensorflow-probability (and, alternatively PyMC2/3).

  2. Machine Learning for Software Engineers github.com
  3. TensorFlow Examples for Beginners github.com

    TensorFlow tutorials and code examples for beginners

  4. Kalman & Bayesian Filters in Python github.com

    Kalman Filter book using Jupyter Notebook.

  5. LSTM for Human Activity Recognition github.com

    Recurrent Neural Network classification in TensorFlow with LSTM on cellphone sensor data

  6. Torch Code for character-level language models using LSTM github.com
  7. Dive into Machine Learning with Python Jupyter notebook and scikit-learn github.com
  8. Assignments github.com
  9. Data Science Python github.com

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  10. Time series forecasting with Sequence-to-Sequence (seq2seq) rnn models github.com

    Learn to use a seq2seq model on simple datasets as an introduction to the vast array of possibilities that this architecture offers

  11. AI/ML YouTube Courses github.com
  12. Simplified Scikit-learn Style Interface to TensorFlow github.com

    TensorFlow wrapper à la scikit-learn.

  13. A curated list of speech and natural language processing resources github.com
  14. DataScienceR github.com

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  15. Machine Learning Cheat Sheet github.com
  16. gplearn github.com

    Genetic Programming in Python.

  17. Have Fun With Machine Learning github.com
  18. Graph Based Deep Learning Literature github.com
  19. TensorFlow Book github.com
  20. All Codes github.com
  21. Ethen's Notebook Collection github.com

    Continuously updated machine learning documentations (mainly in Python3). Contents include educational implementation of machine learning algorithms from scratch and open-source library usage

  22. Machine Translation Reading List github.com
  23. Knowledge Representation Learning Papers github.com
  24. GitHub Repo github.com
  25. Tutorial github.com
  26. Learn Statistics Using Python github.com

    Learn Statistics using an application-centric programming approach

  27. Music generation using RNNs (Keras) github.com
  28. Torch code for Visual Question Answering using a CNN+LSTM model github.com
  29. GitHub Repo github.com
  30. Deep Learning Implementation Tutorials - Keras and Lasagne github.com
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