[ Kaynak: debian-science ]
Paket: science-machine-learning (1.10)
science-machine-learning için bağlantılar
Debian Kaynakları:
debian-science Kaynak Paketini İndir:
Geliştiriciler:
- Debian Science Team (QA Sayfası, Posta Arşivi)
- Andreas Tille (QA Sayfası)
- Ole Streicher (QA Sayfası)
Dış Kaynaklar:
- Ana Sayfa [wiki.debian.org]
Benzer paketler:
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.
science-machine-learning ile İlgili Diğer Paketler
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- dep: science-config (= 1.10)
- Debian Science Project config package
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- dep: science-tasks (= 1.10)
- 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: 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: libshogun-dev
- Large Scale Machine Learning Toolbox
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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: lua-torch-graph
- Graph Computation Package for Torch Framework
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- rec: lua-torch-image
- Image Load/Save Library for Torch Framework
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- rec: lua-torch-nn
- Neural Network Package for Torch Framework
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- rec: lua-torch-nngraph
- Neural Network Graph Package for Torch Framework
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- rec: lua-torch-optim
- Numeric Optimization Package for Torch Framework
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- rec: lua-torch-trepl
- REPL Package for Torch Framework
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- rec: lua-torch-xlua
- Lua Extension Package for Torch Framework
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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-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-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: python3-amp
- Atomistic Machine-learning Package (python 3)
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- rec: python3-keras
- deep learning framework running on Theano or TensorFlow
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- rec: python3-lasagne
- deep learning library build on the top of Theano (Python3 modules)
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- rec: python3-sklearn
- Python modules for machine learning and data mining - Python 3
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- rec: python3-thinc
- Practical Machine Learning for NLP in Python
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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-metrics
- GNU R evaluation metrics for machine learning
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- rec: r-cran-mlbench
- GNU R Machine Learning Benchmark Problems
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- rec: r-cran-mlr
- Machine learning in GNU R
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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: torch-core-free
- Scientific Computing Framework For Luajit (Core Components)
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- rec: toulbar2
- Exact combinatorial optimization for Graphical Models
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- rec: weka
- Machine learning algorithms for data mining tasks
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- sug: ask
- Adaptive Sampling Kit for big experimental spaces
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- sug: caffe-cuda
- Fast, open framework for Deep Learning (Meta)
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- sug: flann
- Paket mevcut değil
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- sug: gprolog
- Paket mevcut değil
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- sug: libacovea-dev
- Paket mevcut değil
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- sug: libcomplearn-dev
- Paket mevcut değil
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- sug: libcv-dev
- Paket mevcut değil
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- sug: libdlib-dev
- C++ toolkit for machine learning and computer vision - development
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- sug: libevocosm-dev
- Paket mevcut değil
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- sug: libfclib-dev
- read and write problems from the Friction Contact Library (headers)
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- sug: libmkldnn-dev
- Intel Math Kernel Library for Deep Neural Networks (dev)
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- sug: libqsearch-dev
- Paket mevcut değil
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- sug: libroot-math-mlp-dev
- Paket mevcut değil
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- sug: libroot-montecarlo-vmc-dev
- Paket mevcut değil
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- sug: libroot-tmva-dev
- Paket mevcut değil
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- sug: libshark-dev
- Paket mevcut değil
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- sug: libxsmm-dev
- Paket mevcut değil
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- sug: pgapack
- Paket mevcut değil
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- sug: pybrain
- Paket mevcut değil
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- sug: python-mdp
- Paket mevcut değil
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- sug: python-mlpy
- Paket mevcut değil
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- sug: python-mvpa2
- Paket mevcut değil
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- sug: python-orange
- Paket mevcut değil
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- sug: python-pyevolve
- Paket mevcut değil
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- sug: python-pymc
- Paket mevcut değil
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- sug: python3-hdmedians
- high-dimensional medians in Python3
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- sug: root-system
- Paket mevcut değil
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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
- Paket mevcut değil
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- sug: spacy
- Paket mevcut değil
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- sug: vowpal-wabbit
- Paket mevcut değil
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- sug: yap
- Paket mevcut değil
science-machine-learning indir
| Mimari | Paket Boyutu | Kurulu Boyut | Dosyalar |
|---|---|---|---|
| all | 18,3 kB | 38,0 kB | [dosya listesi] |