Research codes and data:

• Crowdsourcing Data for the SDM'11 paper
• Singleton reviews for the KDD'12 paper
• Codes and Data for ICDM'13 paper
• Feature selection for networks (SDM 15)

Classic machine learning algorithms

• Kernel Fisher Discriminative Analysis (in Matlab)
• Maximum Mean Discrepancy (in Matlab)
• Logistic regression (in Matlab, use Mark schmidtm's minFunc package)
• Non-negative matrix factorization (in Matlab)
• Adaptive Lasso (in Matlab with lasso in C)

Performance measurements

• NDCG at k (Matlab)
• Precision at k (Matlab)
• AUC (Matlab) by Brian Lau

Web Scraping

• Tweeter
• Reddit

Knowledge bases

• WordNet
• Wikipedia

Numerical optimization

• by Mark Schmidt (in Matlab)
• by Carl (in Matlab)