sdutheone Goto Github PK

datasets

Information propagation trees of Sina Weibo

datasets2sqlite

Scripts to convert some datasets to SQLite format.

dato-core

The open source core of the GraphLab ML library

datumbox-framework

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

db-readings

Readings in Databases

deeplearningbibliography

Bibliography for Publications about Deep Learning using GPU

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepst

Deep Learning for Spatio-Temporal Data

featureforge

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

frank19900731.github.io

free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

fullstackdataanalysis

Presentation February 2015

github

github tutorial

go

The Open Source Data Science Masters

google-ips

Google 全球 IP 地址库

graphlab-create-sdk

SDK for GraphLab-Create

groundhog

Library for implementing RNNs with Theano

hao

好东西传送门

impress.js

It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

intellij_for_spark

Instruction of how to set intellij for spark developers

ipythontheanotutorials

java-design-patterns

Design patterns implemented in Java

jetpack

Get up and running w/ machine learning using Docker

jos-gender-2014

Software for the paper "Gender and Lexical Variation in Social Media" with David Bamman and Tyler Schnoebelen

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

kaggle_homedepot

Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

kayak

Kayak is a library for automatic differentiation with applications to deep neural networks.

line

LINE: Large-scale information network embedding

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

memnn

Memory Networks implementations