Demos and tutorials around Torch7.
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attention
filter-bank
gabor-layer-demo
linear-regression
live-kinect
load-data
logistic-regression
mst-based-segmenter
person-detector ConvolutionMM requires dW/dH fields Nov 11, 2014
profiling
segment-color
simple-frame-grabber
temporal-diff
tensors
tracker
train-a-digit-classifier Fix padding on first convolutional pooling layer. Jun 15, 2016
train-autoencoder
train-face-detector keeping empty tensor for fgradInput in ConvMM Mar 12, 2015
train-on-cifar
train-on-housenumbers
.gitignore
CMakeLists.txt
README.md

README.md

Demos & Turorials 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.

Tutorials

https://github.com/torch/tutorials

Credits

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