Stan modeling language and C++ library for Bayesian inference. NUTS adaptive HMC (MCMC) sampling, automatic differentiation, R, shell interfaces. Gelman.
Event-Detection - DBSCAN Algorithm in Map/Reduce logic, implemented with Hadoop and MongoDB, to analyze tweets and photos and to create geolocated events
Labeled LDA (D. Ramage, D. Hall, R. Nallapati and C.D. Manning; EMNLP2009) is a supervised topic model derived from LDA (Blei+ 2003). While LDA's estimated topics don't often equal to human's expectation because it is unsupervised, Labeled LDA is to treat documents with multiple labels. I implemented Labeled LDA in python.
In this project, we provide our implementations of CNN [Zeng et al., 2014] and PCNN [Zeng et al.,2015] and their extended version with sentence-level attention scheme [Lin et al., 2016] .