[ Source: torch3 ]
Package: libtorch3c2 (3.1-2.1)
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State of the art machine learning library - runtime library
Torch is a machine-learning library, written in C++. Its aim is to provide the state-of-the-art of the best algorithms for machine-learning.
* 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 is the Torch runtime library.
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Download libtorch3c2
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| amd64 | 229.4 kB | 680.0 kB | [list of files] |
| armel | 227.9 kB | 644.0 kB | [list of files] |
| armhf | 174.8 kB | 395.0 kB | [list of files] |
| i386 | 226.5 kB | 628.0 kB | [list of files] |
| ia64 | 326.6 kB | 1,228.0 kB | [list of files] |
| kfreebsd-amd64 | 229.5 kB | 682.0 kB | [list of files] |
| kfreebsd-i386 | 226.7 kB | 618.0 kB | [list of files] |
| mips | 221.8 kB | 752.0 kB | [list of files] |
| mipsel | 219.0 kB | 752.0 kB | [list of files] |
| powerpc | 255.4 kB | 760.0 kB | [list of files] |
| s390 | 225.1 kB | 672.0 kB | [list of files] |
| s390x | 224.1 kB | 671.0 kB | [list of files] |
| sparc | 229.9 kB | 668.0 kB | [list of files] |
