📊 Data Science Tools

Pylearn2 is a library for machine learning research.

Open Source

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

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

Open Source

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Open Source

HLearn is a high performance machine learning library written in Haskell.

A collaboration platform for data scientists

Pattern Recognition Toolbox provides pattern classification tools for MATLAB.

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Machine learning, computer vision and statistics framework for .NET

Open Source

MLKit is a simple machine learning framework written in Swift.

Open Source

OpenAI GYM is a toolkit developers use to both develop and compare reinforcement learning algorithms. Their GitHub repository includes dozens of contributors... read more.

SuperLearner is a R package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

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

Open Source