Code

GoSta

by Igor Colin
Basic Python implementation of the gossip algorithm for computing U-statistics proposed in our paper Extending Gossip Algorithms to Distributed Estimation of U-statistics (NIPS 2015). A few other gossip averaging algorithms are also implemented. The code is open-source and distributed under Apache 2.0 license.
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Distributed Frank Wolfe v0.02

by Ali Bagheri Garakani
C++/MPI implementation of the distributed optimization algorithm proposed in our paper A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning (SDM 2015). In its current version, it can tackle two problems: kernel SVM with distributed training examples and LASSO regression with distributed attributes. The software is open-source and distributed under GNU/GPL 3 license.
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SCML v1.11

by Yuan Shi and Aurélien Bellet
Matlab/MEX implementation of the metric learning method proposed in our paper Sparse Compositional Metric Learning (AAAI 2014). It allows scalable learning of global, multi-task and multiple local Mahalanobis metrics for multi-class data under a unified framework based on sparse combinations of rank-one basis metrics. SCML is open-source and distributed under GNU/GPL 3 license.
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GESL v1.01

by Aurélien Bellet
C library implementing the string edit similarity learning method proposed in our papers Learning Good Edit Similarities with Generalization Guarantees (ECML/PKDD 2011) and Good edit similarity learning by loss minimization (MLJ 2012). It is able to handle multi-class problems and also includes a classification library that allows to learn a sparse classifier from an edit similarity. The archive includes the datasets used in the papers. GESL is open-source and distributed under GNU/GPL 3 license.
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