Changelog

1.0 - Pytorch!

• 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 ~ Community Project release

• HyperGAN 0.10 released as a community project
• 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 ~ Refactorings and optimizations

• API Documentation - 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

0.8 ~ Least Squares GAN and API examples

• Tensorflow 1.0 support
• New configuration format and refactored api.
• New loss based on least squared GAN. See least squares GAN implementation.
• 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 ~ WGAN & API

• 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 / 0.6

• pip package released

0.1-0.4

• Initial private release