common data analysis and machine learning tasks using python

The "Python Machine Learning" book code repository and info resource

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

SigOpt wrappers for scikit-learn methods

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

Stanford CoreNLP: A Java suite of core NLP tools.

Public material for CS109

Files for Udemy Course on Algorithms and Data Structures

the browser-based graphing library for python

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Amazon Kinesis Client Library for Python

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Graphical primitives for visualization, such as lines and areas.

A JavaScript visualization library for HTML and SVG.

A python tutorial on bayesian modeling techniques (PyMC3)

Scalable, fast, and lightweight system for large-scale topic modeling

Open source software library for numerical computation using data flow graphs.

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

LWJGL is a Java library that enables cross-platform access to popular native APIs useful in the development of graphics (OpenGL), audio (OpenAL) and parallel computing (OpenCL) applications.

Dive into Machine Learning with ipython notebook and scikit-learn

Public facing notes page

🎲 IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

A fork of Git containing Windows-specific patches.

All Kaggle competitions