{"id":16552338,"url":"https://github.com/rajeevatla/supercongan","last_synced_at":"2025-11-30T14:06:38.146Z","repository":{"id":40956649,"uuid":"296472357","full_name":"RajeevAtla/SuperconGAN","owner":"RajeevAtla","description":"Training a GAN using superconductivity data","archived":false,"fork":false,"pushed_at":"2024-02-01T21:14:01.000Z","size":741,"stargazers_count":5,"open_issues_count":3,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-15T12:42:19.563Z","etag":null,"topics":["gan","generative-adversarial-network","superconductivity","superconductivity-data","superconductivity-dataset","superconductor-simulation-data","superconductors","synthetic-dataset-generation","tabular-data"],"latest_commit_sha":null,"homepage":"","language":"TeX","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/RajeevAtla.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":"2020-09-18T00:26:27.000Z","updated_at":"2024-03-26T14:39:27.000Z","dependencies_parsed_at":"2025-01-15T00:30:37.434Z","dependency_job_id":null,"html_url":"https://github.com/RajeevAtla/SuperconGAN","commit_stats":{"total_commits":95,"total_committers":2,"mean_commits":47.5,"dds":"0.010526315789473717","last_synced_commit":"64eedfefb0da78ac9c95622dc9cbaa134f724704"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RajeevAtla%2FSuperconGAN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RajeevAtla%2FSuperconGAN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RajeevAtla%2FSuperconGAN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RajeevAtla%2FSuperconGAN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RajeevAtla","download_url":"https://codeload.github.com/RajeevAtla/SuperconGAN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241885898,"owners_count":20036956,"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":["gan","generative-adversarial-network","superconductivity","superconductivity-data","superconductivity-dataset","superconductor-simulation-data","superconductors","synthetic-dataset-generation","tabular-data"],"created_at":"2024-10-11T19:44:35.198Z","updated_at":"2025-11-30T14:06:33.126Z","avatar_url":"https://github.com/RajeevAtla.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SuperconGAN\n\n[![Downloads](https://static.pepy.tech/personalized-badge/supercongan?period=total\u0026units=international_system\u0026left_color=black\u0026right_color=blue\u0026left_text=Downloads)](https://pepy.tech/project/supercongan)\n\nA program to train a GAN using superconductivity data.\nIt was inspired by and is based off of the CTGAN library for generating GANs for tabular datasets.\n\n## Installation\nTo install the latest version, please use the following command in a terminal window:\n\n```PowerShell\npython3 -m pip install SuperconGAN --upgrade\n```\n\n## Starter Example\n\nTo get a feel for the package, try running the following code, after installing the package (above):\n\n```python\nimport SuperconGAN\n\nmodel = SuperconGAN.Synthesizer()\nmodel.fit(epochs = 5)\nmodel.sample(n = 10)\n```\n\n## Documentation\n\nWill be added shortly.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frajeevatla%2Fsupercongan","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frajeevatla%2Fsupercongan","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frajeevatla%2Fsupercongan/lists"}