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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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OpenCV is the world's biggest computer vision library.
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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NumPy is the fundamental package for scientific computing with Python.
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Open source deep learning platform that provides a seamless path from research prototyping to...
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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.
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MLKit is a simple machine learning framework written in Swift.
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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.
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Pylearn2 is a library for machine learning research.
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mlpack is a scalable machine learning library, written in C++.
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BoofCV is an open source library written from scratch for real-time computer vision.
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Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem.
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ml.js is a machine learning and numeric analysis tools in javascript for node.js and browser.
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CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost.
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PRMLT package is a Matlab implementation of the algorithms described in the classical machine learning textbook: Pattern Recognition and Machine Learning by C.
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Apache SystemML is a machine learning platform optimal for big data.
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CloudForest allows multi-threaded ensembles of decision trees for machine learning in pure Go.
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Fastest and easiest .NET Video Reader and Thumbnailer.
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Feature Forge offers a set of tools for creating and testing machine learning features.
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Recommender is C library for product recommendations/suggestions using collaborative filtering (CF).