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this project is built as a learning project for myself and that if\n\u003e you're looking for a tried-and-true implementation of CycleGAN you should \n\u003e refer to their [original PyTorch source][CycleGANSource] or look at one of the\n\u003e several [Tensorflow adaptations][CycleGANTensorflow].\n\n## Build Setup\n\n```bash\n# install package manager\npip install pipenv\n\n# install dependencies\npipenv install\n```\n\n## Code Quality\n\n```bash\n# get linter aggregate statistics\npipenv run pycodestyle --statistics -qq --config pycodestyle.cfg src\n\n# lint a specific file(s)\npipenv run pycodestyle --first --show-source --config pycodestyle.cfg \u003cfile\u003e\n```\n\n## Model Architecture\n\nThe base for this model is [CycleGAN]\u0026mdash;the generator network follows\n[Johnson et al.] while the discriminator follows [PatchGAN].\n\n[CycleGAN]: https://arxiv.org/abs/1703.10593\n[CycleGANSource]: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix\n[CycleGANTensorflow]: https://github.com/search?q=CycleGan+tensorflow\n[Johnson et al.]: https://arxiv.org/abs/1603.08155\n[PatchGAN]: https://arxiv.org/abs/1611.07004\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhunterlarco%2Fghilbi-gan","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhunterlarco%2Fghilbi-gan","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhunterlarco%2Fghilbi-gan/lists"}