Stan modeling language and C++ library for Bayesian inference. NUTS adaptive HMC (MCMC) sampling, automatic differentiation, R, shell interfaces. Gelman.
tomotopy is a Python extension of tomoto (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++. It utilizes a vectorization of modern CPUs for maximizing speed. The current version of tomoto supports several major topic models including
Topicmarks reads text documents for you electronically. Get the gist in minutes without reading everything yourself. Turbo-charge your reading, your understanding, your learning, your studying, your writing.
J. Tang, und J. Zhang. Advances in Knowledge Discovery and Data Mining, Volume 5476 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2009)
J. Eisenstein, B. O'Connor, N. Smith, und E. Xing. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, Seite 1277--1287. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)