This repository has been archived by the owner on Apr 11, 2021. It is now read-only.
Releases: codekansas/gandlf
Releases · codekansas/gandlf
Ford
In this version:
- Documentation is much better
- Support for more layers and model configurations (including conditional GANs)
- More examples and bug fixes (recurrent attention wrappers work correctly)
Still in progress:
- User testing (to see how intuitive it is to use)
- Building better examples
- Improving documentation
- Adding more features
Arthur
Barebones implementation which supports normal GANs and ACGANs.
- Added
xor.py
andmnist.py
examples, which illustrate supervised and unsupervised GAN training - Basic model is in place
- No unit test (yet), but working towards it
- Made sure the XOR example works correctly (need access to a GPU to try the MNIST example)
Next steps:
- Work out bugs / unknown behavior: Model saving,
fit_generator
and similar. - Try out different models to see what can be done
- Write more documentation: Document the layers better.