Newmu / dcgan_code

Deep Convolutional Generative Adversarial Networks

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There is no source code.

gcr opened this issue · comments

commented

Bug: There is no source code for the model.

Expected Result: For source code to be released, since the project is titled dgcan_code :)

How to reproduce:

michael@halifax ~> git clone https://github.com/Newmu/dcgan_code
Cloning into 'dcgan_code'...
remote: Counting objects: 46, done.
remote: Compressing objects: 100% (39/39), done.
remote: Total 46 (delta 5), reused 45 (delta 4), pack-reused 0
Unpacking objects: 100% (46/46), done.
Checking connectivity... done.
michael@halifax ~> cd dcgan_code/
michael@halifax ~/dcgan_code> find . -iname '*.lua' | wc -l
       0

Is there a schedule to release any code? Many thanks.

@gcr - try running the following:

while true; do bash -c "git pull origin && find . -iname '*.lua' -iname '*.py' | wc -l"; sleep 60; done

I'm pretty sure if you run that overnight it will take care of itself.

I just got off work for the day - am moving/cleaning/committing through the night :)

The core lib/utils used in all training code is now public as well as an example training the conditional mnist model from the appendix with c7e43bd. More examples will be added in the coming days/long weekend as we figure out etl code and data sharing/access for the bigger image datasets.