eLxr packages [ bianca ]
[ Zdroj: debian-science ]
Balík: science-machine-learning (1.15)
Odkazy pre science-machine-learning
Stiahnuť zdrojový balík debian-science:
Správcovia:
Externé zdroje:
- Domovská stránka [wiki.debian.org]
Podobné balíky:
Debian Science Machine Learning packages
This metapackage will install packages useful for machine learning. Included packages range from knowledge-based (expert) inference systems to software implementing the advanced statistical methods that currently dominate the field.
Ostatné balíky súvisiace s balíkom science-machine-learning
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- dep: science-config (= 1.15)
- Debian Science Project config package
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- dep: science-tasks (= 1.15)
- Debian Science tasks for tasksel
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- rec: autoclass
- automatic classification or clustering
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- rec: gprolog
- GNU Prolog compiler
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- rec: libfann-dev
- Development libraries and header files for FANN
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- rec: libga-dev
- C++ Library of Genetic Algorithm Components
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- rec: liblinear-dev
- Development libraries and header files for LIBLINEAR
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- rec: libocas-dev
- Development libraries and header files for LIBOCAS
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- rec: libsvm-dev
- LIBSVM header files
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- rec: libvigraimpex-dev
- development files for the C++ computer vision library
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- rec: mcl
- Markov Cluster algorithm
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- rec: octave-ga
- genetic optimization code for Octave
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- rec: python3-fann2
- Python 3 bindings for FANN
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- rec: python3-genetic
- genetic algorithms in Python
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- rec: python3-mdp
- Modular toolkit for Data Processing
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- rec: python3-opencv
- Python 3 bindings for the computer vision library
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- rec: python3-sklearn
- Python modules for machine learning and data mining - Python 3
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- rec: python3-statsmodels
- Python3 module for the estimation of statistical models
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- rec: python3-torch
- Tensors and Dynamic neural networks in Python (Python Interface)
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- rec: python3-torch-sparse
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
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- rec: r-cran-amore
- GNU R: A MORE flexible neural network package
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- rec: r-cran-bayesm
- GNU R package for Bayesian inference
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- rec: r-cran-class
- GNU R package for classification
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- rec: r-cran-cluster
- GNU R package for cluster analysis by Rousseeuw et al
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- rec: r-cran-mass
- GNU R package of Venables and Ripley's MASS
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- rec: r-cran-mcmcpack
- R routines for Markov chain Monte Carlo model estimation
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- rec: r-cran-mnp
- GNU R package for fitting multinomial probit (MNP) models
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- rec: r-cran-msm
- GNU R Multi-state Markov and hidden Markov models in continuous time
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- rec: r-cran-tgp
- GNU R Bayesian treed Gaussian process models
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- rec: weka
- Machine learning algorithms for data mining tasks
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- sug: flann
- Balík nie je dostupný
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- sug: libcv-dev
- Balík nie je dostupný
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- sug: libevocosm-dev
- Balík nie je dostupný
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- sug: libmkldnn-dev
- Balík nie je dostupný
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- sug: libroot-math-mlp-dev
- Balík nie je dostupný
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- sug: libroot-montecarlo-vmc-dev
- Balík nie je dostupný
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- sug: libroot-tmva-dev
- Balík nie je dostupný
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- sug: libshark-dev
- Balík nie je dostupný
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- sug: libshogun-dev
- Balík nie je dostupný
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- sug: libtorch3-dev
- Balík nie je dostupný
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- sug: lua-torch-graph
- Balík nie je dostupný
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- sug: lua-torch-image
- Balík nie je dostupný
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- sug: lua-torch-nn
- Balík nie je dostupný
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- sug: lua-torch-nngraph
- Balík nie je dostupný
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- sug: lua-torch-optim
- Balík nie je dostupný
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- sug: lua-torch-trepl
- Balík nie je dostupný
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- sug: lua-torch-xlua
- Balík nie je dostupný
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- sug: pgapack
- Balík nie je dostupný
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- sug: pybrain
- Balík nie je dostupný
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- sug: python3-mlpy
- Balík nie je dostupný
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- sug: python3-vigra
- Balík nie je dostupný
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- sug: r-cran-gbm
- Balík nie je dostupný
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- sug: root-system
- Balík nie je dostupný
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- sug: science-numericalcomputation
- Debian Science Numerical Computation packages
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- sug: science-statistics
- Debian Science Statistics packages
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- sug: science-typesetting
- Debian Science typesetting packages
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- sug: scilab-ann
- Balík nie je dostupný
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- sug: torch-core-free
- Balík nie je dostupný
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- sug: vowpal-wabbit
- Balík nie je dostupný
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- sug: yap
- Balík nie je dostupný
Stiahnuť science-machine-learning
| Architektúra | Veľkosť balíka | Nainštalovaná veľkosť | Súbory |
|---|---|---|---|
| all | 10.5 kB | 30.0 kB | [zoznam súborov] |