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Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw

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# DRAW
Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw

Implementation not completed. Now results are rather random.

Results:
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Result for the reconstruction:

![animation.gif](https://raw.githubusercontent.com/melgor/DRAW/master/doc/sequence_reconstruct.gif)

Results for the generation:

![animation.gif](https://raw.githubusercontent.com/melgor/DRAW/master/doc/sequence_generation.gif)

The model used for producing gif have been learning by 4 hours then it stop converging

TODO:
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- add normalization to filter back: DONE
- use different AttentionRead and AttentionWrite filter size: DONE
- get similar results to https://github.com/jbornschein/draw (using same architecture)

Changes compared to https://github.com/vivanov879/draw
-----------------------
- added batch learning
- more modular code, most of the element have own file
- added cuda support
- addded command line arguments

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