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.