[ Source: debian-science ]
Пакунок: science-machine-learning (1.7ubuntu3)
Links for science-machine-learning
Trisquel Resources:
Download Source Package debian-science:
Maintainer:
Original Maintainers:
- Debian Science Team (Mail Archive)
- Andreas Tille
- Ole Streicher
External Resources:
- Homepage [wiki.debian.org]
Similar packages:
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.
Інші пакунки пов'язані з science-machine-learning
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- dep: science-config (= 1.7ubuntu3)
- Debian Science Project config package
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- dep: science-tasks (= 1.7ubuntu3)
- Debian Science tasks for tasksel
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- rec: autoclass
- automatic classification or clustering
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- rec: caffe-cpu
- Fast, open framework for Deep Learning (Meta)
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- rec: gprolog
- GNU Prolog compiler
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- rec: libcv-dev
- Пакунок недоступний
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- rec: libevocosm-dev
- Пакунок недоступний
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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: libmlpack-dev
- intuitive, fast, scalable C++ machine learning library (development libs)
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- rec: libocas-dev
- Development libraries and header files for LIBOCAS
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- rec: libshark-dev
- development files for Shark
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- rec: libsvm-dev
- LIBSVM header files
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- rec: libtorch3-dev
- State of the art machine learning library - development 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: python-genetic
- genetic algorithms in Python
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- rec: python-mdp
- Modular toolkit for Data Processing
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- rec: python-mvpa2
- multivariate pattern analysis with Python v. 2
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- rec: python-opencv
- Python bindings for the computer vision library
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- rec: python-pebl
- Python Environment for Bayesian Learning
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- rec: python-pyevolve
- complete genetic algorithm framework
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- rec: python-scikits-learn
- transitional compatibility package for scikits.learn -> sklearn migration
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- rec: python-statsmodels
- Python module for the estimation of statistical models
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- rec: python-vigra
- Python bindings for the C++ computer vision library
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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-gbm
- GNU R package providing Generalized Boosted Regression Models
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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-mlbench
- GNU R Machine Learning Benchmark Problems
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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 package "tgp: Bayesian treed Gaussian process models"
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- rec: scilab-ann
- Scilab module for artificial neural networks
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- rec: weka
- Machine learning algorithms for data mining tasks
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- rec: yap
- High-performance Prolog System
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- sug: ask
- Adaptive Sampling Kit for big experimental spaces
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- sug: caffe-cuda
- Пакунок недоступний
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- sug: flann
- Пакунок недоступний
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- sug: libacovea-dev
- Пакунок недоступний
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- sug: libcomplearn-dev
- Пакунок недоступний
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- sug: libdlib-dev
- C++ toolkit for machine learning and computer vision - development
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- sug: libqsearch-dev
- Пакунок недоступний
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- sug: libroot-math-mlp-dev
- Пакунок недоступний
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- sug: libroot-montecarlo-vmc-dev
- Пакунок недоступний
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- sug: libroot-tmva-dev
- Пакунок недоступний
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- sug: libshogun-dev
- Large Scale Machine Learning Toolbox
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- sug: lua-torch5
- Пакунок недоступний
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- sug: lush
- Пакунок недоступний
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- sug: pgapack
- Пакунок недоступний
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- sug: pybrain
- Пакунок недоступний
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- sug: python-mlpy
- high-performance Python package for predictive modeling
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- sug: python-orange
- Пакунок недоступний
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- sug: python-pymc
- Пакунок недоступний
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- sug: root-system
- Пакунок недоступний
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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: torch-core-free
- Пакунок недоступний
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- sug: toulbar2
- Exact combinatorial optimization for Graphical Models
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- sug: vowpal-wabbit
- fast and scalable online machine learning algorithm
Завантажити science-machine-learning
| Архітектура | Розмір пакунка | Розмір після встановлення | Файли |
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| all | 4.2 kB | 37 kB | [список файлів] |