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c1000kpracticeguide

caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

coolplayspark

酷玩 Spark

data-design

datasciencecoursera

dato-core

datumbox-framework

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

fbcunn

Facebook's extensions to torch/cunn.

graphify

Graphify is a Neo4j unmanaged extension used for document and text classification using graph-based hierarchical pattern recognition.

h2o

h2o = fast statistical, machine learning & math runtime for bigdata

hello-world

just another repository

homebrew

The missing package manager for OS X.

iclr15

kafka

A distributed publish/subscribe messaging service

kaggle-2014-criteo

kaggle-avazu

kaggle_avazu_benchmark

Kaggle Avazu beat-the-benchmark model

liblinear

libsvm

list_of_recommender_systems

A List of Recommender Systems and Resources

ml_class

Work for the Andrew Ng online ML class

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

passage

A little library for text analysis with RNNs.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pydata-strata-2015

Slides and notebooks for PyData Strata San Jose

r-spam

basic machine learning / classification code

reference-apps

Spark reference applications

scala-best-practices

A collection of Scala best practices

scaled-ml

Machine learning applied at large scale

scikit-learn

scikit-learn: machine learning in Python