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Data Science

378 items from krzjoa/awesome-python-data-science ★3,613

  1. GreatX github.com

    A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

  2. sigopt_sklearn github.com

    SigOpt wrappers for scikit-learn methods.

    tool link ↗
  3. liquidSVM github.com

    An implementation of SVMs.

    tool link ↗
  4. few github.com

    A feature engineering wrapper for sklearn.

    tool link ↗
  5. TensorLight github.com

    A high-level framework for TensorFlow.

  6. Catalyst-RL github.com

    PyTorch framework for RL research.

  7. Contrastive Explanation github.com

    Contrastive Explanation (Foil Trees).

    tool link ↗
  8. Auralisation github.com

    Auralisation of learned features in CNN (for audio).

    tool link ↗
  9. skl-groups github.com

    A scikit-learn addon to operate on set/"group"-based features.

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  10. xpandas github.com

    Universal 1d/2d data containers with Transformers .functionality for data analysis by The Alan Turing Institute.

  11. dirty_cat github.com

    Machine learning on dirty tabular data (especially: string-based variables for classifcation and regression).

  12. pyMorfologik github.com

    Python binding for Morfologik.

  13. sklearn-evaluation github.com

    Model evaluation made easy: plots, tables, and markdown reports.

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  14. sk-transformer github.com

    A collection of various pandas & scikit-learn compatible transformers for all kinds of preprocessing and feature engineering steps

  15. FlashLight github.com

    Visualization Tool for your NeuralNetwork.

    tool link ↗
  16. Skater github.com

    Python Library for Model Interpretation.

  17. imgaug_extension github.com

    Additional augmentations for imgaug.

    tool link ↗