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A simple machine-learning library

Among its features you can find:
* A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial bas is functions, mixtures of experts, convolutional networks and even time-delay neural networks. In fact a lot of "modules" are available that you can plug as you want to get what you need.
* Support vector machines, in classification and regression. As fast as the old stand-alone program SVMTorch II, but with the powerful environment of the library.
* Ensemble models such as bagging or adaboost.
* Non-parametric models such as K-nearest-neighbors, Parzen regression and Parzen density estimator.
* Distributions stuff, like Kmeans, Gaussian mixture models, hidden Markov models, input-output hidden Markov models, and Bayes classifier.
* Speech recognition tools (Embedded training and large vocabulary decoding).

Source Files

Filename Size Changed Actions
Torch3doc.tgz 1.64 MB Download File
Torch3src.tgz 771 KB Download File
import.info 2.01 KB Download File
torch.spec 3.79 KB Download File

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