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0.9 release - #66

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martyn merged 653 commits into
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develop
Jul 4, 2017
Merged

0.9 release#66
martyn merged 653 commits into
masterfrom
develop

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@martyn

@martyn martyn commented Mar 21, 2017

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New Features:

  • Completely refactored API and core. Including over 120 new unit tests.
  • New real-time viewer! Thanks to @emikulic
  • Prebuilt configurations, replicated from several papers.
  • Support for orthogonal initialization - allows for deeper networks.
  • Support for any image resolution.
  • Better trainer(supports any combination of generator/discriminator optimizers).
  • New example: Classifier - automated search for loss function. Turns G into a classifier!
  • New example: Static batch - automated search for generator/discriminator.
  • --align[directory] using CycleGAN
  • Softmax Loss
  • Cramer Loss
  • Boundary Equilibrium Loss
  • Improved WGAN including gradient_penalty
  • Significant improvement in gpu memory usage for smaller networks using tensorflow allow_growth
  • Classifier test based on MNIST
  • AlphaGAN

Remaining:

  • Update base config
  • QA tests
  • QA CLI
  • QA default configurations
  • Revise documentation
  • Get samples

Screenshots:

--sampler began -c began
screenshot from 2017-06-15 18-55-16

Top row is input, second row is discriminator autoencoder, last row is generator.

martyn and others added 30 commits June 10, 2017 09:40
* develop:
  [refactor] dead code
  [tweak] search space
  [feature] cramer gan https://arxiv.org/pdf/1705.10743.pdf
  [hack] create some extra variables for f(x) (remove before merge)

@mikkel mikkel left a comment

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Wow 0.9 is huge 🥇

@martyn martyn left a comment

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Ready for release 👍

@martyn
martyn merged commit d70cfb0 into master Jul 4, 2017
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2 participants