Top 20 open-source products relevant to Data Science And Machine Learning and Python Tools

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

Open Source

OpenCV is the world's biggest computer vision library.

Open Source

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

Open Source

NumPy is the fundamental package for scientific computing with Python.

Open Source

Open source deep learning platform that provides a seamless path from research prototyping to...

Open Source

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

MLKit is a simple machine learning framework written in Swift.

Open Source

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

Pylearn2 is a library for machine learning research.

Open Source

SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. .

Open Source

Build & share machine learning apps delightfully.

Open Source

mlpack is a scalable machine learning library, written in C++.

Open Source

BoofCV is an open source library written from scratch for real-time computer vision.

Open Source

Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem.

Open Source

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

Open Source

ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis.

Open Source

CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost.

Open Source

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

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

Open Source

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

Open Source