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Data Science

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

  1. Platypus github.com

    A Free and Open Source Python Library for Multiobjective Optimization.

  2. Solid github.com

    A comprehensive gradient-free optimization framework written in Python.

  3. recmetrics github.com

    Library of useful metrics and plots for evaluating recommender systems.

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  4. tick github.com

    Module for statistical learning, with a particular emphasis on time-dependent modeling.

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  5. Cleora github.com

    The Graph Embedding Engine.

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  6. pandas_summary github.com

    Extension to pandas dataframes describe function.

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  7. stacked_generalization github.com

    Library for machine learning stacking generalization.

  8. pandas-gbq github.com

    pandas Google Big Query.

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  9. dopanda github.com

    Hints and tips for using pandas in an analysis environment.

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  10. Optunity github.com

    Is a library containing various optimizers for hyperparameter tuning.

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  11. Marsyas github.com

    Music Analysis, Retrieval, and Synthesis for Audio Signals.

  12. meza github.com

    A Python toolkit for processing tabular data.

  13. animatplot github.com

    A python package for animating plots built on matplotlib.

  14. Machin github.com

    A reinforcement library designed for pytorch.

  15. scikit-tensor github.com

    Python library for multilinear algebra and tensor factorizations.

  16. CapsNet-Visualization github.com

    A visualization of the CapsNet layers to better understand how it works.

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  17. FairML github.com

    FairML is a python toolbox auditing the machine learning models for bias.

  18. PyStan github.com

    Bayesian inference using the No-U-Turn sampler (Python interface).

  19. skpro github.com

    Supervised domain-agnostic prediction framework for probabilistic modelling by The Alan Turing Institute.

  20. sklearn-genetic github.com

    Genetic feature selection module for scikit-learn.

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  21. numdifftools github.com

    Solve automatic numerical differentiation problems in one or more variables.

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  22. GPflowOpt github.com

    Bayesian Optimization using GPflow.

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  23. pysparkling github.com

    A pure Python implementation of Apache Spark's RDD and DStream interfaces.

  24. zoofs github.com

    A feature selection library based on evolutionary algorithms.

  25. imbalanced-algorithms github.com

    Python-based implementations of algorithms for learning on imbalanced data.

  26. muda github.com

    A library for augmenting annotated audio data.

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  27. scikit-rvm github.com

    Relevance Vector Machine implementation using the scikit-learn API.

  28. skift github.com

    Scikit-learn wrappers for Python fastText.

  29. LibXtract github.com

    A simple, portable, lightweight library of audio feature extraction functions.

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  30. BoostARoota github.com

    A fast xgboost feature selection algorithm.

  31. Stacking github.com

    Simple and useful stacking library written in Python.

  32. pandas-log github.com

    A package that allows providing feedback about basic pandas operations and finds both business logic and performance issues.

  33. QML github.com

    A Python Toolkit for Quantum Machine Learning.

  34. Dataset github.com

    Helps you conveniently work with random or sequential batches of your data and define data processing.

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  35. pandas-ply github.com

    Functional data manipulation for pandas.

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  36. bayesloop github.com

    Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

  37. karoo_gp github.com

    A Genetic Programming platform for Python with GPU support.

  38. PyCEbox github.com

    Python Individual Conditional Expectation Plot Toolbox.

  39. SafeOpt github.com

    Safe Bayesian Optimization.

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  40. PyTorch Geometric Signed Directed github.com

    A signed/directed graph neural network extension library for PyTorch Geometric.

  41. InferPy github.com

    Deep Probabilistic Modelling Made Easy.

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  42. physt github.com

    Improved histograms.

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  43. scikit-mdr github.com

    A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

  44. L2X github.com

    Code for replicating the experiments in the paper Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.

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  45. themis-ml github.com

    A library that implements fairness-aware machine learning algorithms.

  46. monkeys github.com

    A strongly-typed genetic programming framework for Python.

  47. weightedcalcs github.com

    A pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

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  48. NitroFE github.com

    Moving window features.

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  49. tubular github.com

    Collection of scikit-learn compatible transformers written in narwhals, which can accept either polars/pandas inputs and utilise the chosen library under the hood.

  50. hsmmlearn github.com

    A library for hidden semi-Markov models with explicit durations.

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