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Department of Machine Learning



MiLDe

MiLDe is an integrated development environment with a suite of machine learning tools including SVMs, Neural Networks (using the Torch package), image analysis, numeric functions and dataset handling.


Torch
Torch 5 provides a matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting language (Lua) and a underlying C implementation.


Lush
Lush is an object-oriented programming language designed for researchers, experimenters, and engineers interested in large-scale numerical and graphic applications. Lush is designed to be used in situations where one would want to combine the flexibility of a high-level, weakly-typed interpreted language, with the efficiency of a strongly-typed, natively-compiled language, and with the easy integration of code written in C, C++, or other languages. Lush is Free Software (under the GPL license) and runs on GNU/Linux, Solaris, Irix, and Windows under Cygwin.


Spider
Matlab Toolbox for Kernel Methods: The Spider. We are designing and developing a matlab toolbox for kernel methods. The goals of this project are: to build a general purpose kernel methods library including different induction principles such as (but not limited to) online/batch learning, active learning, etc., and to build a platform with different datasets and a code repository where researchers could exchange results and reproduce experiments.The spider is intended to be a complete object orientated environment for machine learning in Matlab. ( Project home page )



More software written by members of the department (or collaborators)


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