Machine Learning Open Source Software
To support the open source software movement, JMLR MLOSS publishes contributions related to implementations of non-trivial machine learning algorithms, toolboxes or even languages for scientific computing. Submission instructions are available
here.
- A Library for Locally Weighted Projection Regression
- Stefan Klanke, Sethu Vijayakumar, Stefan Schaal; 9(Apr):623--626, 2008.
[abs][pdf] [code][mloss.org]
- Shark
- Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers; 9(Jun):993--996, 2008.
[abs][pdf] [code][mloss.org]
- LIBLINEAR: A Library for Large Linear Classification
- Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin; 9(Aug):1871--1874, 2008.
[abs][pdf] [code][mloss.org]
- JNCC2: The Java Implementation Of Naive Credal Classifier 2
- Giorgio Corani, Marco Zaffalon; 9(Dec):2695--2698, 2008.
[abs][pdf] [code][mloss.org]
- Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data
- Abhik Shah, Peter Woolf; 10(Feb):159--162, 2009.
[abs][pdf] [code][mloss.org]
- Nieme: Large-Scale Energy-Based Models
- Francis Maes; 10(Mar):743--746, 2009.
[abs][pdf] [code][mloss.org]
- Java-ML: A Machine Learning Library
- Thomas Abeel, Yves Van de Peer, Yvan Saeys; 10(Apr):931--934, 2009.
[abs][pdf] [code][mloss.org]
- Model Monitor (M2): Evaluating, Comparing, and Monitoring Models
- Troy Raeder, Nitesh V. Chawla; 10(Jul):1387--1390, 2009.
[abs][pdf] [code][mloss.org]
- Dlib-ml: A Machine Learning Toolkit
- Davis E. King; 10(Jul):1755--1758, 2009.
[abs][pdf] [code][mloss.org]
- RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments
- Brian Tanner, Adam White; 10(Sep):2133--2136, 2009.
[abs][pdf] [code][mloss.org]
- DL-Learner: Learning Concepts in Description Logics
- Jens Lehmann; 10(Nov):2639−2642, 2009.
[abs][pdf] [code][mloss.org]
- Error-Correcting Output Codes Library
- Sergio Escalera, Oriol Pujol, Petia Radeva; 11(Feb):661−664, 2010.
[abs][pdf] [code][mloss.org]
- PyBrain
- Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, Jürgen Schmidhuber; 11(Feb):743−746, 2010.
[abs][pdf] [code][mloss.org]
- Continuous Time Bayesian Network Reasoning and Learning Engine
- Christian R. Shelton, Yu Fan, William Lam, Joon Lee, Jing Xu; 11(Mar):1137−1140, 2010.
[abs][pdf] [code][mloss.org]
- SFO: A Toolbox for Submodular Function Optimization
- Andreas Krause; 11(Mar):1141−1144, 2010.
[abs][pdf] [code][mloss.org]
- MOA: Massive Online Analysis
- Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer; 11(May):1601−1604, 2010.
[abs][pdf] [code][mloss.org]
- FastInf: An Efficient Approximate Inference Library
- Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elidan; 11(May):1733−1736, 2010.
[abs][pdf] [code][mloss.org]
- The SHOGUN Machine Learning Toolbox
- Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio de Bona, Alexander Binder, Christian Gehl, Vojtěch Franc; 11(Jun):1799−1802, 2010.
[abs][pdf] [code][mloss.org]
- A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
- Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom Dhaene, Karel Crombecq; 11(Jul):2051−2055, 2010.
[abs][pdf] [code][mloss.org]
- Model-based Boosting 2.0
- Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, Benjamin Hofner; 11(Aug):2109−2113, 2010.
[abs][pdf] [code][mloss.org]
- libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
- Joris M. Mooij; 11(Aug):2169−2173, 2010.
[abs][pdf] [code][mloss.org]
- Gaussian Processes for Machine Learning (GPML) Toolbox
- Carl Edward Rasmussen, Hannes Nickisch; 11(Nov):3011−3015, 2010.
[abs][pdf] [code][mloss.org]
- CARP: Software for Fishing Out Good Clustering Algorithms
- Volodymyr Melnykov, Ranjan Maitra; 12(Jan):69−73, 2011.
[abs][pdf] [code][mloss.org]
- The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
- Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, Christian Buchta; 12(Jun):2021−2025, 2011.
[abs][pdf] [code][mloss.org]
- MSVMpack: A Multi-Class Support Vector Machine Package
- Fabien Lauer, Yann Guermeur; 12(Jul):2293−2296, 2011.
[abs][pdf] [code][mloss.org]
- Waffles: A Machine Learning Toolkit
- Michael Gashler; 12(Jul):2383−2387, 2011.
[abs][pdf] [code][mloss.org]
- MULAN: A Java Library for Multi-Label Learning
- Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Jozef Vilcek, Ioannis Vlahavas; 12(Jul):2411−2414, 2011.
[abs][pdf] [code][mloss.org]
- LPmade: Link Prediction Made Easy
- Ryan N. Lichtenwalter, Nitesh V. Chawla; 12(Aug):2489−2492, 2011.
[abs][pdf] [code][mloss.org]
- Scikit-learn: Machine Learning in Python
- Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay; 12(Oct):2825−2830, 2011.
[abs][pdf] [code][mloss.org]
- The Stationary Subspace Analysis Toolbox
- Jan Saputra Müller, Paul von Bünau, Frank C. Meinecke, Franz J. Király, Klaus-Robert Müller; 12(Oct):3065−3069, 2011.
[abs][pdf] [code][mloss.org]
