A package for unsupervised learning in Torch.

Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA).

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)

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.