{"id":13936593,"url":"https://github.com/jmiller656/DiscoGAN-Tensorflow","last_synced_at":"2025-07-19T22:31:04.336Z","repository":{"id":85862927,"uuid":"86538789","full_name":"jmiller656/DiscoGAN-Tensorflow","owner":"jmiller656","description":"An implementation of DiscoGAN in tensorflow","archived":false,"fork":false,"pushed_at":"2017-06-26T00:29:42.000Z","size":15,"stargazers_count":79,"open_issues_count":1,"forks_count":14,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-08-08T23:24:02.881Z","etag":null,"topics":["discogan","generative-adversarial-networks","machine-learning","neural-networks","tensorflow"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jmiller656.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-03-29T04:35:56.000Z","updated_at":"2024-01-04T16:12:44.000Z","dependencies_parsed_at":"2023-03-13T07:09:52.685Z","dependency_job_id":null,"html_url":"https://github.com/jmiller656/DiscoGAN-Tensorflow","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmiller656%2FDiscoGAN-Tensorflow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmiller656%2FDiscoGAN-Tensorflow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmiller656%2FDiscoGAN-Tensorflow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmiller656%2FDiscoGAN-Tensorflow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jmiller656","download_url":"https://codeload.github.com/jmiller656/DiscoGAN-Tensorflow/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226686729,"owners_count":17666928,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["discogan","generative-adversarial-networks","machine-learning","neural-networks","tensorflow"],"created_at":"2024-08-07T23:02:49.500Z","updated_at":"2024-11-27T04:31:13.932Z","avatar_url":"https://github.com/jmiller656.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# DiscoGAN for Tensorflow\nAn implementation of [Learning to Discover Cross-Domain Relations with Generative Adversarial Networks](https://arxiv.org/abs/1703.05192) written in tensorflow.\n\n## Requirements\n- Tensorflow 1.0.1\n- scipy\n\n## Training\n`python main.py`\n\n## Training details\nCurrently the data utils file works on domains from the celeba dataset\n\n## Remarks\nAs it currently stands, I have refactored much of the model and extracted it to `discoGAN.py`. I will soon be making it take command line arguments, download datasets automatically, etc. As mentioned before, there are now some barebones utilities to work with the celeba dataset.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmiller656%2FDiscoGAN-Tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjmiller656%2FDiscoGAN-Tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmiller656%2FDiscoGAN-Tensorflow/lists"}