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Top 20 open-source products relevant to Software Libraries, Data Science Tools, and Python Tools

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  1. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

    Open Source

    /scikit-learn-alternatives
  2. OpenCV is the world's biggest computer vision library.

    Open Source

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  3. Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

    Open Source

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  4. NumPy is the fundamental package for scientific computing with Python.

    Open Source

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  5. Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

    Open Source

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  6. MLKit is a simple machine learning framework written in Swift.

    Open Source

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  7. DatumBox is a machine learning framework that can be applied to a wide variety of complex applications, though it's primarily used for social media analytics.

    Open Source

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  8. Pylearn2 is a library for machine learning research.

    Open Source

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  9. ml.js is a machine learning and numeric analysis tools in javascript for node.js and browser.

    Open Source

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  10. PRMLT package is a Matlab implementation of the algorithms described in the classical machine learning textbook: Pattern Recognition and Machine Learning by C.

    Open Source

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  11. Apache SystemML is a machine learning platform optimal for big data.

    Open Source

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  12. CloudForest allows multi-threaded ensembles of decision trees for machine learning in pure Go.

    Open Source

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  13. Feature Forge offers a set of tools for creating and testing machine learning features.

    Open Source

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  14. Recommender is C library for product recommendations/suggestions using collaborative filtering (CF).

    Open Source

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  15. MLDB is an open-source database designed for machine learning that can be install in any device and send commands over a RESTful API to store data.

    Open Source

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  16. SwiftLearner is a scala machine learning library that is easier to follow than the optimized libraries, and easier to tweak it use plain Java types and have few or no dependencies.

    Open Source

    /swiftlearner-alternatives
  17. haskell-ml is Haskell implementations of various ML algorithms.

    Open Source

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  18. rustlearn is a machine learning crate for Rust that contains reasonably effective implementations of a number of common machine learing algorithms.

    Open Source

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  19. Data Science and Machine Learning.

    Open Source

    /imbalanced-learn-alternatives
  20. BIDMach is a CPU and GPU-accelerated machine learning library.

    Open Source

    /bidmach-alternatives

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