Discovered public repositories for Honglang in the GitHub catalog.
This repository contains IPython notebooks and other resources from my talk IPython is Great (for large-scale computation, data exploration, and creating reproducible research artifacts). The slides and IPython notebooks from my talk were featured in the 2013 Data Science course at Harvard.
Lectures on scientific computing with python, as IPython notebooks.
Code documentation written as code! How novel and totally my idea!
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 ;)
Take Homes from the Unconference on the Future of Statistics #futureofstats
R/broman: A package with Karl Broman's personal R code
The lecture slides for Coursera's Data Analysis class
Source code for R package structSSI, implementing the Hierarchical FDR procedure and Group Benjamini-Hochberg procedure.
Python best practices guidebook, written for Humans.
Easy tool to call C functions from Python and Python functions from C (for mixed usage of C and Python from Cython code)
MISO: Mixture of Isoforms model for RNA-Seq isoform quantitation
A general-purpose tool for dynamic report generation in R
Notes used to give tutorials (for example at Euroscipy 2010/2011)
Tools to make an R developer's life easier
A demonstration of Markdown for ProfHacker
SNA project
Talks and materials from different conferences, meetings etc
The HTML Presentation Framework
Reproducible analysis with knitr, R Markdown, and RStudio: Slides and example R Markdown files from the presentation
Public repository.
R-Code used in my blog theBioBucket
Example of producing Posters using R, LaTex, Beamer and BeamerPoster
scikit-learn main repo
Kaggle Submission for "Detecting Insults in Social Commentary"
Shell scripts to create basic files and directories for books and other long documents.
Source code examples from blog.knatten.org
Visualization of bicycle collisions in Montreal
A gallery of statistical graphics and visualizations
The probability and statistics cookbook
miscellaneous stuff
preparation for haxogreen 2012
Restricted Boltzmann Machines in Python.
An implementation of the prediction strength algorithm from Tibshirani, Walther, Botstein, and Brown's "Cluster validation by prediction strength".
An implementation of the gap statistic algorithm to compute the number of clusters in a set of numerical data.
Quick introduction to ggplot2 (no knowledge of R assumed)
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
Solution to Facebook's link prediction contest on Kaggle.
EMI Music Hackathon entry
Official IPython repository
Very concise notes on machine learning and statistics.
Code to create benchmarks for Kaggle's Facebook Recruiting Competition