📊 Data Science Tools

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

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

Open Source

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Open Source

Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

pyBrain is a modular machine learning library for python that offer a flexible and powerful algorithms for machine learning task and a variety of predefined environments to test and compare algorithms.

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Open Source

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MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

DecisionTree.jl is a Julia classifier with the implimentation of the ID3 algorithm with post pruning, parallelized bagging, adaptive boosting, cross validation and support for mixed nominal and numerical data.