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awesome-python-data-science

Probably the best curated list of data science software in Python.
https://github.com/krzjoa/awesome-python-data-science

Last synced: 1 day ago
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  • Natural Language Processing

    • Others

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

  • Machine Learning

    • General Purpose Machine Learning

      • scikit-learn - Machine learning in Python. <img height="20" src="img/sklearn_big.png" alt="sklearn">

    • Ensemble Methods

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

  • Deep Learning

    • TensorFlow

      • Keras - A high-level neural networks API running on top of TensorFlow. <img height="20" src="img/keras_big.png" alt="Keras compatible">

  • Time Series

    • Others

      • dateutil - Powerful extensions to the standard datetime module

  • Probabilistic Graphical Models

    • Others

      • pyAgrum - A GRaphical Universal Modeler.

  • Probabilistic Methods

    • Others

      • ZhuSuan - Bayesian Deep Learning. <img height="20" src="img/tf_big2.png" alt="sklearn">

  • Optimization

    • Others

      • 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.

  • Visualization

    • Interactive plots

      • plotly - A Python library that makes interactive and publication-quality graphs.
      • 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
      • streamlit - Make it easy to deploy the machine learning model
      • datapane - A collection of APIs to turn scripts and notebooks into interactive reports.
      • binder - Enable sharing and execute Jupyter Notebooks

  • Data Manipulation

    • Data Frames

      • pandas - Powerful Python data analysis toolkit.

    • Pipelines

      • SSPipe - Python pipe (|) operator with support for DataFrames and Numpy, and Pytorch.

  • Experimentation

    • Synthetic Data

      • Neptune - A lightweight ML experiment tracking, results visualization, and management tool.

  • Computations

    • Synthetic Data

      • numpy - The fundamental package needed for scientific computing with Python.

  • Web Scraping

Categories
Deployment 4 Visualization 3 Machine Learning 2 Web Scraping 2 Natural Language Processing 2 Data Manipulation 2 Computations 1 License 1 Optimization 1 Experimentation 1 Time Series 1 Probabilistic Graphical Models 1 Probabilistic Methods 1 Deep Learning 1
Sub Categories
Others 6 Synthetic Data 5 NLP 4 Interactive plots 2 Map 1 TensorFlow 1 General Purpose Machine Learning 1 Ensemble Methods 1 Data Frames 1 Pipelines 1