GAN

Playground to use GAN for data/MC morphing

Dependencies

Standard python ML ecosystem (numpy, pandas, matplotlib, sckit-learn, keras, theano, thensorflow)
Keras adversarial https://github.com/bstriner/keras-adversarial/tree/master/keras_adversarial Note: needs bug fix #40 (fix for buggy legacy.get_updates). Can be downloaded from https://github.com/musella/keras-adversarial/tree/master/keras_adversarial

Toys
- toy_1D.ipynb
- toy_1D_conditional.ipynb
- toy_2D.ipynb
CMS Zee
- cms_zee_conditional.ipynb simple example using naive freeze/unfreeze parameters in fit
- cms_zee_conditional_keras_advesarial.ipynb same as above using keras adversarial for fitting
- cms_zee_conditional.ipynb parametrized notebook, that can be run from command line using bin/nb_batch <input_nb> [output_nb] --Parameters.name=VALUE

Name		Name	Last commit message	Last commit date
Latest commit History 35 Commits
GAN		GAN
bin		bin
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
cms_zee_cleaning.ipynb		cms_zee_cleaning.ipynb
cms_zee_conditional.ipynb		cms_zee_conditional.ipynb
cms_zee_conditional_keras_aversarial.ipynb		cms_zee_conditional_keras_aversarial.ipynb
cms_zee_conditional_parametrized.ipynb		cms_zee_conditional_parametrized.ipynb
cms_zee_conditional_wgan.ipynb		cms_zee_conditional_wgan.ipynb
multi_dim_rewei.ipynb		multi_dim_rewei.ipynb
phi_rewei.ipynb		phi_rewei.ipynb
plot_metrics.ipynb		plot_metrics.ipynb
toy_1D.ipynb		toy_1D.ipynb
toy_1D_conditional.ipynb		toy_1D_conditional.ipynb
toy_1D_conditional_wgan.ipynb		toy_1D_conditional_wgan.ipynb
toy_2D.ipynb		toy_2D.ipynb