{"id":20041717,"url":"https://github.com/ajithvcoder/gan_unlocked","last_synced_at":"2026-05-11T08:24:45.619Z","repository":{"id":111987035,"uuid":"153794115","full_name":"ajithvcoder/GAN_Unlocked","owner":"ajithvcoder","description":"Generative AI - Contains pytorch implementation of GANs","archived":false,"fork":false,"pushed_at":"2022-11-30T14:00:46.000Z","size":99,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-12T19:30:41.404Z","etag":null,"topics":["cnn","deep-learning","gan","generative-adversarial-network","generative-ai","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/ajithvcoder.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}},"created_at":"2018-10-19T14:16:24.000Z","updated_at":"2022-11-23T12:35:15.000Z","dependencies_parsed_at":null,"dependency_job_id":"d4f70ce1-44f1-4481-b99f-7686d05e2d5e","html_url":"https://github.com/ajithvcoder/GAN_Unlocked","commit_stats":null,"previous_names":["ajithvcoder/gan_unlocked"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajithvcoder%2FGAN_Unlocked","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajithvcoder%2FGAN_Unlocked/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajithvcoder%2FGAN_Unlocked/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajithvcoder%2FGAN_Unlocked/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ajithvcoder","download_url":"https://codeload.github.com/ajithvcoder/GAN_Unlocked/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241470401,"owners_count":19968041,"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":["cnn","deep-learning","gan","generative-adversarial-network","generative-ai","pytorch"],"created_at":"2024-11-13T10:47:37.640Z","updated_at":"2026-05-11T08:24:45.573Z","avatar_url":"https://github.com/ajithvcoder.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Generative Adverserial Network\n\nThis repo provides explanations with references for loss function used in different types of GAN which is a critical part of neural network for its progress.\n\nAlso it provides end to end explanation for entire code\n\n**Contents**\n\nS.NO | Topic Name | Usage | Link\n---  | ---------  | ----- | ----\n1    | Warm_up    | contains basic codes to caculate loss function in pytorch and basic python        | [here](./001_warm_up/)\n2    |  GAN        |      |\n3    |  DC GAN     |      |\n4    | Vanilla GAN | Generate Handwritten Digits|\n5    | Conditional GAN | Generate Specific Digits|\n6    | Progressive GAN | HUman faces with progressive GAN|\n7    | Artistic Style Transfer GAN |     |\n8    | Couples GAN |    |\n9    | Super Resolution GAN |   |\n10    | Pix2Pix GAN |    |\n11   | Cycle GAN   |    |\n12   | Vid2Vid GAN |    |\n\n\n**Results**\n\n**WarmUp**\n\n- python neural network\n\n![Result](./001_warm_up/assets/xor_python_result.png)\n\n- pytorch neural network\n![Result](./001_warm_up/assets/xor_pytorch_result.png)\n\n\n**Credits:**\n\n- [GAN_Notebooks](https://github.com/Kyushik/Generative-Model.git)\n- [GAN_TF](https://github.com/hwalsuklee/tensorflow-generative-model-collections)\n- [GAN_Pytorch](https://github.com/contributeToWorld/PyTorch-GAN)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajithvcoder%2Fgan_unlocked","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fajithvcoder%2Fgan_unlocked","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajithvcoder%2Fgan_unlocked/lists"}