https://github.com/koraykv/unsup

Some unsupervised learning modules using Torch
https://github.com/koraykv/unsup

Last synced: 11 days ago
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Some unsupervised learning modules using Torch

• Host: GitHub
• URL: https://github.com/koraykv/unsup
• Owner: koraykv
• Created: 2011-08-04T20:25:32.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2017-05-23T12:01:42.000Z (almost 7 years ago)
• Last Synced: 2024-04-14T15:18:35.521Z (about 1 month ago)
• Language: Lua
• Homepage:
• Size: 152 KB
• Stars: 86
• Watchers: 10
• Forks: 36
• Open Issues: 10
• Metadata Files:
  • Readme: README.md

Lists

• AI - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]** (Lua / [Tools](#tools-1))
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]** (Lua / [Tools](#tools-1))
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]** (Lua)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learnings - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]** (Lua / [Tools](#tools-1))
• awesome-machine-learning-library - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]** (Lua / [Tools](#tools-1))
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]** (Lua / [Tools](#tools-1))
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]** (Lua / Tools)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]** (Lua / Tools)
• awesome-advanced-metering-infrastructure - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-master - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning - unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). (Lua / Speech Recognition)
• awesome-machine-learning-cn - 官网

README

        
UNSUP

=====

A package for unsupervised learning in Torch.

Provides modules that are compatible with `nn` (`LinearPsd`, `ConvPsd`, `AutoEncoder`, ...),

and self-contained algorithms (`k-means`, `PCA`).

Requirements

------------

Basic dependencies:

  * Torch7 (github.com/andresy/torch)

  * kex    (github.com/koraykv/tools)

  * optim  (github.cim/koraykv/optim)

To run the demo scripts, you also need the following:

  * image (github.com/clementfarabet/lua---image)

  * sys   (github.com/clementfarabet/lua---sys)

  * xlua  (github.com/clementfarabet/lua---xlua)

Installation

------------

Build/Install:

  * Install Torch7 (refer to its own documentation).

  * clone all other repos (including this one) into dev directory of Torch7.

  * Rebuild torch, it will include all these projects too.

Alternatively, you can use torch's package manager. Once

Torch is installed, you can install `unsup`: `$ torch-pkg install unsup`.