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awesome-python-data-science

From gitlab
https://github.com/jacob98415/awesome-python-data-science

Last synced: about 15 hours ago
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  • Visualization

    • Interactive plots

      • Altair - Declarative statistical visualization library for Python. Can easily do many data transformation within the code to create graph

    • Map

      • folium - Makes it easy to visualize data on an interactive open street map

  • Deployment

    • NLP

      • fastapi - Modern, fast (high-performance), a web framework for building APIs with Python
      • binder - Enable sharing and execute Jupyter Notebooks
      • datapane - A collection of APIs to turn scripts and notebooks into interactive reports.

  • Model Explanation

    • NLP

      • Skater - Python Library for Model Interpretation.
      • FlashLight - Visualization Tool for your NeuralNetwork.

  • Reinforcement Learning

    • NLP

      • RLlib - Scalable Reinforcement Learning.

  • Probabilistic Methods

    • NLP

      • GPflow - Gaussian processes in TensorFlow. <img height="20" src="img/tf_big2.png" alt="sklearn">

  • Optimization

    • NLP

      • OR-Tools - An open-source software suite for optimization by Google; provides a unified programming interface to a half dozen solvers: SCIP, GLPK, GLOP, CP-SAT, CPLEX, and Gurobi.

  • Time Series

    • NLP

      • dateutil - Powerful extensions to the standard datetime module

  • Natural Language Processing

    • NLP

      • spaCy - Industrial-Strength Natural Language Processing.
      • gensim - Topic Modelling for Humans.

  • Computer Vision

  • Distributed Computing

    • NLP

      • PySpark - Exposes the Spark programming model to Python. <img height="20" src="img/spark_big.png" alt="Apache Spark based">

  • Machine Learning

    • General Purpose Machine Learning

      • Shogun - Machine learning toolbox.

    • Ensemble Methods

      • ML-Ensemble - High performance ensemble learning. <img height="20" src="img/sklearn_big.png" alt="sklearn">

  • Deep Learning

  • Web Scraping

  • Data Manipulation

    • Pipelines

      • SSPipe - Python pipe (|) operator with support for DataFrames and Numpy, and Pytorch.
Categories
Web Scraping 3 Deployment 3 Machine Learning 2 Natural Language Processing 2 Visualization 2 Model Explanation 2 Computer Vision 1 Reinforcement Learning 1 License 1 Optimization 1 Time Series 1 Distributed Computing 1 Probabilistic Methods 1 Data Manipulation 1 Deep Learning 1
Sub Categories
NLP 14 Others 4 Map 1 Interactive plots 1 General Purpose Machine Learning 1 Ensemble Methods 1 Pipelines 1