Machine Learning

A collection of machine learning tools for classifying data. Includes Natural Language Processing.

Tutorials to get you
started
Road
tested
scikit-learn Machine learning for Python Useful cheat sheet
Yellow Brick Yellowbrick is a suite of visual diagnostic tools that extend the Scikit-Learn API to allow human steering of the machine learning model selection process.
AstroML AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, matplotlib, and astropy. It contains a growing library of statistical and machine learning routines for analyzing astronomical data in Python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets.
PyTorch PyTorch is a deep learning framework for Python. PyTorch Tutorials
Tutorials on GitHub
pipeliner Machine learning pipelines for R Examples
TensorFlow An open-source software library for Machine Intelligence.
Picasso A free open-source visualizer for Convolutional Neural Networks. Cloudy with a chance of tanks
IBM Watson Watson can understand all forms of data, interact naturally with people, and learn and reason, at scale. You can analyze and interpret all of your data, including unstructured text, images, audio and video.

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