Top 10 Python Libraries for Machine Learning

• Pandas

  393 41,863 10.0 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

• OpenCV

  196 75,423 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

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• tensorflow

  221 182,323 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

• examples

  142 7,728 6.2 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

• NumPy

  272 26,290 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

• scikit-learn

  81 57,985 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

• NLTK

  64 12,999 8.3 Python

  NLTK Source

  

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

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Pytorch

  334 77,544 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

• Keras

  75 60,902 9.9 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

• mlpack

  4 4,787 9.9 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

• cheatsheets

  126 7,234 7.1 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

• matplotlib

  36 19,223 10.0 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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