Demos and tutorials around Torch7 (in progress updates from xLearn)
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RNN-train-sample Add longer sequence data generator Jan 19, 2017
_xLearn-demos Added xLearn demos (not yet working in Torch 7 Oct 25, 2011
attention attention demo updated Oct 30, 2014
demo-core added demos Feb 15, 2017
demo-learner
demo-tracker
demo-visor added demos Feb 15, 2017
dok
face-detector-elab Debug format error Aug 22, 2016
filter-bank
flow merged latest changes of: https://github.com/andresy/torch-demos May 3, 2012
gabor-layer-demo added [rofiling May 16, 2013
linear-regression added [rofiling May 16, 2013
live-kinect
load-data
logistic-regression
mst-based-segmenter
person-detector
profiling colorized face-detect Jun 9, 2014
road-net fix ascii option, some clean-up May 4, 2015
saliency-itti
saliency-net
segment-color color segmented added Mar 15, 2012
simple-frame-grabber added [rofiling May 16, 2013
temporal-difference removed frea#$@ing pcall!!!! Jun 13, 2015
tensors
tracker
train-a-digit-classifier
train-autoencoder added [rofiling May 16, 2013
train-face-detector-elab
train-on-cifar added [rofiling May 16, 2013
train-on-housenumbers added [rofiling May 16, 2013
.gitignore
CMakeLists.txt
README.html added [rofiling May 16, 2013
README.md

README.md

Demos & Tutorials for Torch7.

All the demos/tutorials provided in this repo require Torch7 to be installed, as well as some extra (3rd-party) packages.

Install

Torch7

Follow instructions on: Torch7's homepage.

3rd-party packages

Different demos/tutorials rely on different 3rd-party packages. If a demo crashes because it can't find a package then simply try to install it using luarocks:

$ luarocks install image    # an image library for Torch7
$ luarocks install nnx      # lots of extra neural-net modules
$ luarocks install camera   # a camera interface for Linux/MacOS
$ luarocks install ffmpeg   # a video decoder for most formats
$ ...

A complete list of packages can be obtained by doing:

$ luarocks list

or checking out this page.

After that, a list of tutorials will be available in the documentation.

Tutorials

Each directory provides a tutorial or a demo, with no particular order. It's a good idea to have the torch documentation on the side, for reference. As Torch is based on the Lua language, it's also a good idea to go through the Lua 5.1 book.

Credits

These demos were slowly put together by: Clement Farabet & Roy Lowrance, and are now maintained by e-lab

License

MIT