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Torch is a machine-learning library, written in C++. Its aim is to provide the state-of-the-art of the best algorithms. It is, and it will be, in development forever. Main features: * Many gradient-based methods, including multi-layered perceptrons, radial basis functions, and mixtures of experts. Many small "modules" (Linear module, Tanh module, SoftMax module, ...) can be plugged together. * Support Vector Machine, for classification and regression. * Distribution package, includes Kmeans, Gaussian Mixture Models, Hidden Markov Models, and Bayes Classifier, and classes for speech recognition with embedded training. * Ensemble models such as Bagging and Adaboost. * Non-parametric models such as K-nearest-neighbors, Parzen Regression and Parzen Density Estimator. This package contains the static library and headers of Torch compiled with single precision support.
|torch-devel-3.1-5.x86_64.html||State of the art machine learning library||OpenMandriva Cooker for x86_64||torch-devel-3.1-5.x86_64.rpm|
|torch-devel-3.1-5.x86_64.html||State of the art machine learning library||OpenMandriva 4.3 for x86_64||torch-devel-3.1-5.x86_64.rpm|
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