Package: science-machine-learning (1.10)

[ Source: debian-science  ]

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.

Tags: Role: Metapackage, Application Suite: Debian

Other Packages Related to science-machine-learning

• dep: science-config (= 1.10)

  pacote de configuração do projeto Debian Science

• dep: science-tasks (= 1.10)

  tarefas do Debian Science para o tasksel

• rec: autoclass

  classificação ou clustering automáticos

• rec: caffe-cpu

  Fast, open framework for Deep Learning (Meta)

• rec: libfann-dev

  Development libraries and header files for FANN

• rec: libga-dev

  C++ Library of Genetic Algorithm Components

• rec: liblinear-dev

  Development libraries and header files for LIBLINEAR

• rec: libmlpack-dev

  intuitive, fast, scalable C++ machine learning library (development libs)

• rec: libocas-dev

  Development libraries and header files for LIBOCAS

• rec: libshogun-dev

  Large Scale Machine Learning Toolbox

• rec: libsvm-dev

  LIBSVM header files

• rec: libtorch3-dev

  State of the art machine learning library - development files

• rec: libvigraimpex-dev

  development files for the C++ computer vision library

• rec: lua-torch-graph

  Graph Computation Package for Torch Framework

• rec: lua-torch-image

  Image Load/Save Library for Torch Framework

• rec: lua-torch-nn

  Neural Network Package for Torch Framework

• rec: lua-torch-nngraph

  Neural Network Graph Package for Torch Framework

• rec: lua-torch-optim

  Numeric Optimization Package for Torch Framework

• rec: lua-torch-trepl

  REPL Package for Torch Framework

• rec: lua-torch-xlua

  Lua Extension Package for Torch Framework

• rec: mcl

  Markov Cluster algorithm

• rec: octave-ga

  genetic optimization code for Octave

• rec: python-genetic

  genetic algorithms in Python

• rec: python-opencv

  Python bindings for the computer vision library

• rec: python-pebl

  Python Environment for Bayesian Learning

• rec: python-statsmodels

  Python module for the estimation of statistical models

• rec: python-vigra

  Python bindings for the C++ computer vision library

• rec: python3-amp

  Atomistic Machine-learning Package (python 3)

• rec: python3-keras

  deep learning framework running on Theano or TensorFlow

• rec: python3-lasagne

  deep learning library build on the top of Theano (Python3 modules)

• rec: python3-sklearn

  Python modules for machine learning and data mining - Python 3

• rec: python3-thinc

  Practical Machine Learning for NLP in Python

• rec: r-cran-amore

  GNU R: A MORE flexible neural network package

• rec: r-cran-bayesm

  GNU R package for Bayesian inference

• rec: r-cran-class

  GNU R package for classification

• rec: r-cran-cluster

  GNU R package for cluster analysis by Rousseeuw et al

• rec: r-cran-gbm

  GNU R package providing Generalized Boosted Regression Models

• rec: r-cran-mass

  pacote GNU R para MASS de Ripley e Venables

• rec: r-cran-mcmcpack

  R routines for Markov chain Monte Carlo model estimation

• rec: r-cran-metrics

  GNU R evaluation metrics for machine learning

• rec: r-cran-mlbench

  GNU R Machine Learning Benchmark Problems

• rec: r-cran-mlr

  Machine learning in GNU R

• rec: r-cran-mnp

  GNU R package for fitting multinomial probit (MNP) models

• rec: r-cran-msm

  GNU R Multi-state Markov and hidden Markov models in continuous time

• rec: r-cran-tgp

  GNU R Bayesian treed Gaussian process models

• rec: torch-core-free

  Scientific Computing Framework For Luajit (Core Components)

• rec: toulbar2

  Exact combinatorial optimization for Graphical Models

• rec: weka

  Machine learning algorithms for data mining tasks

• sug: ask

  Adaptive Sampling Kit for big experimental spaces

• sug: caffe-cuda

  Fast, open framework for Deep Learning (Meta)

• sug: flann

  Package not available

• sug: gprolog

  Package not available

• sug: libacovea-dev

  Package not available

• sug: libcomplearn-dev

  Package not available

• sug: libcv-dev

  Package not available

• sug: libdlib-dev

  C++ toolkit for machine learning and computer vision - development

• sug: libevocosm-dev

  Package not available

• sug: libfclib-dev

  read and write problems from the Friction Contact Library (headers)

• sug: libmkldnn-dev

  Intel Math Kernel Library for Deep Neural Networks (dev)

• sug: libqsearch-dev

  Package not available

• sug: libroot-math-mlp-dev

  Package not available

• sug: libroot-montecarlo-vmc-dev

  Package not available

• sug: libroot-tmva-dev

  Package not available

• sug: libshark-dev

  Package not available

• sug: libxsmm-dev

  Package not available

• sug: pgapack

  Package not available

• sug: pybrain

  Package not available

• sug: python-mdp

  Package not available

• sug: python-mlpy

  Package not available

• sug: python-mvpa2

  Package not available

• sug: python-orange

  Package not available

• sug: python-pyevolve

  Package not available

• sug: python-pymc

  Package not available

• sug: python3-hdmedians

  high-dimensional medians in Python3

• sug: root-system

  Package not available

• sug: science-numericalcomputation

  Debian Science Numerical Computation packages

• sug: science-statistics

  Debian Science Statistics packages

• sug: science-typesetting

  pacotes de digitação do Debian Science

• sug: scilab-ann

  Package not available

• sug: spacy

  Package not available

• sug: vowpal-wabbit

  Package not available

• sug: yap

  Package not available

Download science-machine-learning

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Architecture	Package Size	Installed Size	Files
all	18.3 kB	38.0 kB	[list of files]