Changelogs » Hypergan

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Hypergan

1.0

* Switched to pytorch
  * Almost a complete rewrite
  * Faster, cleaner, more stable
  * Model definition language formalized
  * New custom train hooks not available in other projects
  * More...

0.10.4

* Initial private release
  
  ![](https://raw.githubusercontent.com/255BITS/HyperGAN/master/doc/legacy-0.1.png) ![](https://raw.githubusercontent.com/255BITS/HyperGAN/master/doc/legacy-0.1-2.png)

0.10

* Configurable network architectures using a simple DSL
  * Lots of new regularizers and losses
  * Evolution based GangTrainer
  * Curriculum trainer with progressive growing
  * Optimistic loading
  * New next-frame example
  * More...

0.9

* API Documentation - [https://s3.amazonaws.com/hypergan-apidocs/0.9.0/index.html](https://s3.amazonaws.com/hypergan-apidocs/0.9.0/index.html)
  * Prepackaged configurations
  * New viewer front-end!
  * Examples, including the ability to randomly search for good configurations
  
  See more here [https://github.com/255BITS/HyperGAN/pull/66](https://github.com/255BITS/HyperGAN/pull/66)

0.8

* Tensorflow 1.0 support
  * New configuration format and refactored api.
  * New loss based on least squared GAN.  See [least squares GAN implementation](changelog.mdLeast-Squares-GAN).
  * API example `2d-test` - tests a trainer/encoder/loss combination against a known distribution.
  * API example `2d-measure` - measure and report the above test by randomly combining options.
  * Updated default configuration.
  * More

0.7

* New loss `wgan`
  * Initial Public API Release
  * API example: `colorizer` - re-colorize an image!
  * API example: `inpainter` - remove a section of an image and have your GAN repaint it
  * API example: `super-resolution` - zoom in and enhance.  We've caught the bad guy!
  * 4 _new_ samplers.  `--sampler` flag.  Valid options are: `batch`,`progressive`,`static_batch`,`grid`.

0.5

* pip package released
  
  ![](https://raw.githubusercontent.com/255BITS/HyperGAN/master/doc/face-manifold-0-5-6.png) ![](https://raw.githubusercontent.com/255BITS/HyperGAN/master/doc/face-manifold.png)