{"id":21253092,"url":"https://github.com/abhaskumarsinha/1d-gan","last_synced_at":"2026-05-07T14:47:52.535Z","repository":{"id":48162652,"uuid":"516510570","full_name":"abhaskumarsinha/1D-GAN","owner":"abhaskumarsinha","description":"A simple well-documented tutorial on implementing a 1D GAN on Keras using a Python Jupyter Notebook","archived":false,"fork":false,"pushed_at":"2022-07-22T18:44:35.000Z","size":123,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-15T05:42:31.770Z","etag":null,"topics":["deep-learning","deep-neural-networks","gan","generative-adversarial-network","keras","keras-tensorflow","python3","tensorflow2","tutorial"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/abhaskumarsinha.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}},"created_at":"2022-07-21T20:18:45.000Z","updated_at":"2022-07-22T18:52:17.000Z","dependencies_parsed_at":"2022-09-21T14:31:01.907Z","dependency_job_id":null,"html_url":"https://github.com/abhaskumarsinha/1D-GAN","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/abhaskumarsinha/1D-GAN","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhaskumarsinha%2F1D-GAN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhaskumarsinha%2F1D-GAN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhaskumarsinha%2F1D-GAN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhaskumarsinha%2F1D-GAN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/abhaskumarsinha","download_url":"https://codeload.github.com/abhaskumarsinha/1D-GAN/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abhaskumarsinha%2F1D-GAN/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279051140,"owners_count":26093657,"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","status":"online","status_checked_at":"2025-10-15T02:00:07.814Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["deep-learning","deep-neural-networks","gan","generative-adversarial-network","keras","keras-tensorflow","python3","tensorflow2","tutorial"],"created_at":"2024-11-21T03:50:06.348Z","updated_at":"2025-10-15T04:58:29.590Z","avatar_url":"https://github.com/abhaskumarsinha.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 1D-GAN\nA simple well-documented tutorial on implementing a 1D GAN on Keras using a Python Jupyter Notebook\n\nRefer 1D-GAN.ipynb notebook. You may run it on Google Colab too.\nRefer DC-GAN for a GAN that generates image data.\n\n## Output Progress\n\n\n\nhttps://user-images.githubusercontent.com/31654395/180387174-e93db33e-e192-4f13-b56d-b4252bde6777.mp4\n\n![1](https://github.com/abhaskumarsinha/1D-GAN/raw/main/sample-outputs/1.png)\n\n![2](https://github.com/abhaskumarsinha/1D-GAN/raw/main/sample-outputs/2.png)\n\n![3](https://github.com/abhaskumarsinha/1D-GAN/raw/main/sample-outputs/3.png)\n\n![4](https://github.com/abhaskumarsinha/1D-GAN/raw/main/sample-outputs/4.png)\n\n![5](https://github.com/abhaskumarsinha/1D-GAN/raw/main/sample-outputs/5.png)\n\n![6](https://github.com/abhaskumarsinha/1D-GAN/raw/main/sample-outputs/6.png)\n\n![7](https://github.com/abhaskumarsinha/1D-GAN/raw/main/sample-outputs/7.png)\n\n\n\n\n# **BIBLIOGRAPHY**\n\n\n- I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in Advances in Neural Information Processing Systems, 2014, pp. 2672–2680.\n\n- A. Radford, L. Metz, and S. Chintala, “Unsupervised representation learning with deep convolutional generative adversarial networks,” in Proceedings of the 5th International Conference on Learning Representations (ICLR) - workshop track, 2016.\n\n- Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” Nature, vol. 521, no. 7553, pp. 436–444, 2015.\n\n- I. J. Goodfellow, “On distinguishability criteria for estimating generative models,” International Conference on Learning Representations - workshop track, 2015\n\n- I. Goodfellow, “Nips 2016 tutorial: Generative adversarial networks,” 2016, presented at the Neural Information Processing Systems Conference. [Online]. Available: https://arxiv.org/abs/1701.00160\n\n- J. D. Lee, M. Simchowitz, M. I. Jordan, and B. Recht, “Gradient descent only converges to minimizers,” in Conference on Learning Theory, 2016, pp. 1246–1257\n\n- Thanh-Tung, Hoang, and Truyen Tran. \"Catastrophic forgetting and mode collapse in gans.\" 2020 international joint conference on neural networks (ijcnn). IEEE, 2020.\n\n- Kushwaha, Vandana, and G. C. Nandi. \"Study of prevention of mode collapse in generative adversarial network (GAN).\" 2020 IEEE 4th Conference on Information \u0026 Communication Technology (CICT). IEEE, 2020.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhaskumarsinha%2F1d-gan","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhaskumarsinha%2F1d-gan","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhaskumarsinha%2F1d-gan/lists"}