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brew

🍺 The Homebrew package manager

coursera

data-science-toolbox

Start doing data science in minutes

datalab-samples

dataproc-initialization-actions

Run in all nodes of your cluster before the cluster starts - lets you customize your cluster

dziganto.github.io

elm-tensorflow

Extreme Learning Machine with TensorFlow

fast_rgf

Multi-core implementation of Regularized Greedy Forest

go

The Open Source Data Science Masters

hands_on_linux-self_hosted_wordpress_for_linux_beginners

Code and configuration snippets for the course.

heamy

A set of useful tools for competitive data science.

kaggle-classification

A compiled list of kaggle competitions and their winning solutions for classification problems.

kaggletils

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

oselm-tensorflow

Online Sequential Extreme Learning Machine with TensorFlow

pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pydata2015

python-elm

Extreme Learning Machine implementation in Python

python-spark-tutorial

scala-spark-tutorial

Project for James' Apache Spark with Scala course

scikit-learn

scikit-learn: machine learning in Python

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

textblob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

tffm

TensorFlow implementation of an arbitrary order Factorization Machine

tsne

A python wrapper for Barnes-Hut tsne

woe-and-iv