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Department of Machine Learning
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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.
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Project home page )
More software written by members of the department (or collaborators) |
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