Awesome Python Data Science

Probably the best curated list of data science software in Python

Contents

• Contents
• Machine Learning
  • General Purpose Machine Learning
  • Gradient Boosting
  • Ensemble Methods
  • Imbalanced Datasets
  • Random Forests
  • Kernel Methods
• Deep Learning
  • PyTorch
  • TensorFlow
  • JAX
  • Others
• Automated Machine Learning
• Natural Language Processing
• Computer Audition
• Computer Vision
• Time Series
• Reinforcement Learning
• Graph Machine Learning
• Learning-to-Rank & Recommender Systems
• Probabilistic Graphical Models
• Probabilistic Methods
• Model Explanation
• Optimization
• Genetic Programming
• Feature Engineering
  • General
  • Feature Selection
• Visualization
  • General Purposes
  • Interactive plots
  • Map
  • Automatic Plotting
  • NLP
• Data Manipulation
  • Data Frames
  • Pipelines
  • Data-centric AI
  • Synthetic Data
• Deployment
• Statistics
• Distributed Computing
• Experimentation
• Data Validation
• Evaluation
• Computations
• Web Scraping
• Spatial Analysis
• Quantum Computing
• Conversion
• Contributing
• License

Machine Learning

General Purpose Machine Learning

• SciPy - Fundamental algorithms for scientific computing in Python
• scikit-learn - Machine learning in Python.
• PyCaret - An open-source, low-code machine learning library in Python.
• Shogun - Machine learning toolbox.
• xLearn - High Performance, Easy-to-use, and Scalable Machine Learning Package.
• cuML - RAPIDS Machine Learning Library.
• modAL - Modular active learning framework for Python3.
• Sparkit-learn - PySpark + scikit-learn = Sparkit-learn.
• mlpack - A scalable C++ machine learning library (Python bindings).
• dlib - Toolkit for making real-world machine learning and data analysis applications in C++ (Python bindings).
• MLxtend - Extension and helper modules for Python's data analysis and machine learning libraries.
• hyperlearn - 50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels.
• Reproducible Experiment Platform (REP) - Machine Learning toolbox for Humans.
• scikit-multilearn - Multi-label classification for python.
• seqlearn - Sequence classification toolkit for Python.
• pystruct - Simple structured learning framework for Python.