Top 10 Python Libraries for Machine Learning

1. Pandas

   1 426 45,768 9.9 Python

   Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

   

   Website: https://pandas.pydata.org/ Github Repository: https://github.com/pandas-dev/pandas Developed By: Community Developed (Originally Authored by Wes McKinney) Primary Purpose: Data Analysis and Manipulation

2. InfluxDB

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   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. OpenCV

   2 216 82,699 9.9 C++

   Open Source Computer Vision Library

   

   Website: https://opencv.org/ Github Repository: https://github.com/opencv/opencv Developed By: initially by Intel Corporation Primary purpose: Only focuses on Computer Vision OpenCV

4. tensorflow

   3 236 190,419 10.0 C++

   An Open Source Machine Learning Framework for Everyone

   

   Website: https://www.tensorflow.org/ GitHub Repository: https://github.com/tensorflow/tensorflow Developed By: Google Brain Team Primary Purpose: Deep Neural Networks

5. examples

   4 177 8,136 7.3 Jupyter Notebook

   TensorFlow examples (by tensorflow)

   

   Website: https://www.tensorflow.org/ GitHub Repository: https://github.com/tensorflow/tensorflow Developed By: Google Brain Team Primary Purpose: Deep Neural Networks

6. NumPy

   5 303 29,724 10.0 Python

   The fundamental package for scientific computing with Python.

   

   Website: https://numpy.org/ Github Repository: https://github.com/numpy/numpy Developed By: Community Project (originally authored by Travis Oliphant) Primary purpose: General Purpose Array Processing

7. scikit-learn

   6 88 62,414 9.9 Python

   scikit-learn: machine learning in Python

   

   Website: https://scikit-learn.org/ Github Repository: https://github.com/scikit-learn/scikit-learn Developed By: SkLearn.org Primary Purpose: Predictive Data Analysis and Data Modeling

8. NLTK

   7 69 14,132 9.0 Python

   NLTK Source

   

   Website: https://www.nltk.org/ Github Repository:https://github.com/nltk/nltk Developed By: Team NLTK Primary Purpose: Natural Language Processing

9. SaaSHub

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   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

10. Pytorch

    8 393 90,991 10.0 Python

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    

    Website: https://pytorch.org/ Github Repository: https://github.com/pytorch/pytorch Developed By: Facebook AI Research lab (FAIR) Primary purpose: Deep learning, Natural language Processing, and Computer Vision

11. Keras

    9 88 63,136 9.8 Python

    Deep Learning for humans

    

    Website: https://keras.io/ Github Repository: https://github.com/keras-team/keras Developed By: various Developers, initially by Francois Chollet Primary purpose: Focused on Neural Networks

12. mlpack

    10 4 5,372 9.6 C++

    mlpack: a fast, header-only C++ machine learning library

    

    Github Repository: https://github.com/mlpack/mlpack Developed By: Community, supported by Georgia Institute of technology Primary purpose: Multiple ML Models and Algorithms

13. cheatsheets

    11 126 7,477 5.1 Python

    Official Matplotlib cheat sheets (by matplotlib)

    

    Website: https://matplotlib.org/ Github Repository: https://github.com/matplotlib/matplotlib Developed By: Micheal Droettboom, Community Primary purpose: Data Visualization

14. matplotlib

    12 39 21,349 9.9 Python

    matplotlib: plotting with Python

    

    Website: https://matplotlib.org/ Github Repository: https://github.com/matplotlib/matplotlib Developed By: Micheal Droettboom, Community Primary purpose: Data Visualization

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