{"id":14958901,"url":"https://github.com/jiamings/wgan","last_synced_at":"2025-05-08T21:21:36.762Z","repository":{"id":84351171,"uuid":"80693004","full_name":"jiamings/wgan","owner":"jiamings","description":"Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)","archived":false,"fork":false,"pushed_at":"2018-08-03T05:26:24.000Z","size":11,"stargazers_count":240,"open_issues_count":2,"forks_count":81,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-03-31T18:21:22.587Z","etag":null,"topics":["generative","generative-adversarial-network","generative-model","tensorflow","tensorflow-experiments","tensorflow-models"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jiamings.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2017-02-02T04:25:09.000Z","updated_at":"2024-11-23T11:38:27.000Z","dependencies_parsed_at":"2023-03-02T01:45:43.943Z","dependency_job_id":null,"html_url":"https://github.com/jiamings/wgan","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/jiamings%2Fwgan","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jiamings%2Fwgan/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jiamings%2Fwgan/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jiamings%2Fwgan/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jiamings","download_url":"https://codeload.github.com/jiamings/wgan/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253150083,"owners_count":21861831,"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":["generative","generative-adversarial-network","generative-model","tensorflow","tensorflow-experiments","tensorflow-models"],"created_at":"2024-09-24T13:18:28.433Z","updated_at":"2025-05-08T21:21:36.743Z","avatar_url":"https://github.com/jiamings.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Wasserstein GAN\n\nTensorflow implementation of Wasserstein GAN.\n\nTwo versions:\n- wgan.py: the original clipping method.\n- wgan_v2.py: the gradient penalty method. (Improved Training of Wasserstein GANs).\n\nHow to run (an example):\n\n```\npython wgan_v2.py --data mnist --model mlp --gpus 0\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjiamings%2Fwgan","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjiamings%2Fwgan","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjiamings%2Fwgan/lists"}