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/pandas-alternatives
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-alternatives
NumPy is the fundamental package for scientific computing with Python.
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/scikit-learn-alternatives
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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/opencv-alternatives
OpenCV is the world's biggest computer vision library.
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/google-cloud-machine-learning-alternatives
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-alternatives
MLKit is a simple machine learning framework written in Swift.
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/datumbox-alternatives
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-alternatives
Pylearn2 is a library for machine learning research.
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/itk-alternatives
ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis.
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/ml-js-alternatives
ml.js is a machine learning and numeric analysis tools in javascript for node.js and browser.
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/feature-forge-alternatives
Feature Forge offers a set of tools for creating and testing machine learning features.
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/swiftlearner-alternatives
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.
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/haskell-ml-alternatives
haskell-ml is Haskell implementations of various ML algorithms.
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/rustlearn-alternatives
rustlearn is a machine learning crate for Rust that contains reasonably effective implementations of a number of common machine learing algorithms.
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/imbalanced-learn-alternatives
Data Science and Machine Learning.
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/bidmach-alternatives
BIDMach is a CPU and GPU-accelerated machine learning library.
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/prmlt-alternatives
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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/pgmpy-alternatives
pgmpy [pgmpy] is a python library for working with graphical models that allows the user to create their own graphical models and answer inference or map queries over them.
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/cloudforest-alternatives
CloudForest allows multi-threaded ensembles of decision trees for machine learning in pure Go.
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/apache-systemml-alternatives
Apache SystemML is a machine learning platform optimal for big data.



















