Honglang's starred repositories

DeepLearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

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awesome-r-pkgtools

A curated list of awesome tools for R package development

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Qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

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Caffo-Coursera

A repository of my Coursera latex code and notes

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dataanalysis

The lecture slides for Coursera's Data Analysis class

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misc

miscellaneous stuff

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misc

miscellaneous stuff

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haxogreen.lu

preparation for haxogreen 2012

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restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

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prediction-strength

An implementation of the prediction strength algorithm from Tibshirani, Walther, Botstein, and Brown's "Cluster validation by prediction strength".

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gap-statistic

An implementation of the gap statistic algorithm to compute the number of clusters in a set of numerical data.

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ggplot2-tutorial

Quick introduction to ggplot2 (no knowledge of R assumed)

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dirichlet-process

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

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link-prediction

Solution to Facebook's link prediction contest on Kaggle.

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musichackathon

EMI Music Hackathon entry

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musichackathon

EMI Music Hackathon entry

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link-prediction

Solution to Facebook's link prediction contest on Kaggle.

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ipython

Official IPython repository

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jocco

Jocco is Docco in Julia

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haxogreen.lu

preparation for haxogreen 2012

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MLNotes

Very concise notes on machine learning and statistics.

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FacebookRecruitingCompetition

Code to create benchmarks for Kaggle's Facebook Recruiting Competition

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MLNotes

Very concise notes on machine learning and statistics.

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wordpress-LDA

Makes a submission to Kaggle's wordpress competetition using LDA features

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FacebookRecruitingCompetition

Code to create benchmarks for Kaggle's Facebook Recruiting Competition

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pystruct

Simple structured learning framework for python

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dirichlet-process

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

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ggplot2-tutorial

Quick introduction to ggplot2 (no knowledge of R assumed)

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