MLOSS 2012

15 papers

A Topic Modeling Toolbox Using Belief Propagation Jia Zeng

DARWIN: A Framework for Machine Learning and Computer Vision Research and Development Stephen Gould

DEAP: Evolutionary Algorithms Made Easy Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner, Marc Parizeau, Christian Gagné

Glm-Ie: Generalised Linear Models Inference & Estimation Toolbox Hannes Nickisch

GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression Chiwoo Park, Jianhua Z. Huang, Yu Ding

Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences Jan Grau, Jens Keilwagen, André Gohr, Berit Haldemann, Stefan Posch, Ivo Grosse

ML-Flex: A Flexible Toolbox for Performing Classification Analyses in Parallel Stephen R. Piccolo, Lewis J. Frey

MULTIBOOST: A Multi-Purpose Boosting Package Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl

NIMFA : A Python Library for Nonnegative Matrix Factorization Marinka Žitnik, Blaž Zupan

Oger: Modular Learning Architectures for Large-Scale Sequential Processing David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski

Pattern for Python Tom De Smedt, Walter Daelemans

PREA: Personalized Recommendation Algorithms Toolkit Joonseok Lee, Mingxuan Sun, Guy Lebanon

Sally: A Tool for Embedding Strings in Vector Spaces Konrad Rieck, Christian Wressnegger, Alexander Bikadorov

SVDFeature: A Toolkit for Feature-Based Collaborative Filtering Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu

The Huge Package for High-Dimensional Undirected Graph Estimation in R Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry Wasserman