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Tutorials

449 items from ujjwalkarn/machine-learning-tutorials ★18,260

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    Bayesian Methods for Hackers github.com
    tool category #machine-learning link ↗

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

  2. 0
    Machine Learning for Software Engineers github.com
    tool category #datascience link ↗
  3. 0
    TensorFlow Examples for Beginners github.com
    tool category #machine-learning-tutorials link ↗

    TensorFlow tutorials and code examples for beginners

  4. 0
    Kalman & Bayesian Filters in Python github.com
    tool category #machine-learning-tutorials link ↗

    Kalman Filter book using Jupyter Notebook.

  5. 0
    LSTM for Human Activity Recognition github.com
    tool category #machine-learning-tutorials link ↗

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

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    Torch Code for character-level language models using LSTM github.com
    tool category #machine-learning-tutorials link ↗
  7. 0
    Dive into Machine Learning with Python Jupyter notebook and scikit-learn github.com
    tool category #machine-learning link ↗
  8. 0
    Assignments github.com
    tool category #courses link ↗
  9. 0
    Data Science Python github.com
    tool category #learn-datascience link ↗

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    Time series forecasting with Sequence-to-Sequence (seq2seq) rnn models github.com
    tool category #machine-learning-tutorials link ↗

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

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    AI/ML YouTube Courses github.com
    tool category #machine-learning-tutorials link ↗
  12. 0
    Simplified Scikit-learn Style Interface to TensorFlow github.com
    tool category #machine-learning-tutorials link ↗

    TensorFlow wrapper à la scikit-learn.

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    A curated list of speech and natural language processing resources github.com
    tool category #machine-learning-tutorials link ↗
  14. 0
    DataScienceR github.com
    tool category #r link ↗

    .

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    Machine Learning Cheat Sheet github.com
    tool category #machine-learning-tutorials link ↗
  16. 0
    gplearn github.com
    tool category #python-data-science link ↗

    Genetic Programming in Python.

  17. 0
    Have Fun With Machine Learning github.com
    tool category #machine-learning-tutorials link ↗
  18. 0
    Graph Based Deep Learning Literature github.com
    tool category #machine-learning-tutorials link ↗
  19. 0
    TensorFlow Book github.com
    tool category #machine-learning-tutorials link ↗
  20. 0
    All Codes github.com
    tool category #machine-learning-tutorials link ↗
  21. 0
    Ethen's Notebook Collection github.com
    tool category #machine-learning-tutorials link ↗

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

  22. 0
    Machine Translation Reading List github.com
    tool category #machine-learning-tutorials link ↗
  23. 0
    Torch7 torch.ch
    site category #lua link ↗
  24. 0
    Knowledge Representation Learning Papers github.com
    tool category #machine-learning-tutorials link ↗
  25. 0
    GitHub Repo github.com
    tool category #machine-learning-tutorials link ↗
  26. 0
    Tutorial github.com
    tool category #machine-learning-tutorials link ↗
  27. 0
    Learn Statistics Using Python github.com
    tool category #machine-learning-tutorials link ↗

    Learn Statistics using an application-centric programming approach

  28. 0
    Music generation using RNNs (Keras) github.com
    tool category #machine-learning-tutorials link ↗
  29. 0
    Torch code for Visual Question Answering using a CNN+LSTM model github.com
    tool category #machine-learning-tutorials link ↗
  30. 0
    GitHub Repo github.com
    tool category #machine-learning-tutorials link ↗
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