The Numerical Learning Library intends to provide a wide range of machine learning algorithms. It is a generic and efficient C++ library with its full integrated framework (preprocessing, feature extraction and transformation, validation).
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Project Feed
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nll-0.11
New version finally released! -
File released: /nll/nll-0.11/nll-0.11.zip
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nll nll-0.10 file released: nll-0.10.zip
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File released: /nll/nll-0.10/nll-0.10.zip
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Moving...
This project has now moved to http://code.google.com/p/nll/
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nll-0.06
This time only bug fixes, documentation improvements, and a few interface changes! Next release will implement Restricted Boltzmann Machine & derived... Enjoy!
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nll nll-0.06 file released: nll-0.06.zip
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File released: /nll/nll-0.06/nll-0.06.zip
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nll-0.05!!
Finally a new release of nll with: -added tutorials -PCA algorithm -debug & memory leaks & reengineering (optimizers, classifiers) -Adaboost algorithm
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nll nll-0.05 file released: nll-0.05.zip
nll-0.05: -debug & memory leaks & reengineering (optimizers, classifiers) -PCA algorithm -Adaboost algorithm -added tutorials
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