{"id":18398900,"url":"https://github.com/lyeoni/keras-mnist-cvae","last_synced_at":"2025-07-20T20:32:59.696Z","repository":{"id":196956097,"uuid":"153747114","full_name":"lyeoni/keras-mnist-CVAE","owner":"lyeoni","description":null,"archived":false,"fork":false,"pushed_at":"2018-10-24T07:38:30.000Z","size":892,"stargazers_count":16,"open_issues_count":1,"forks_count":3,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-04-07T05:35:45.193Z","etag":null,"topics":["autoencoder","deep-learning","generative-model","keras","mnist","vae"],"latest_commit_sha":null,"homepage":null,"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/lyeoni.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}},"created_at":"2018-10-19T07:58:45.000Z","updated_at":"2023-08-08T02:00:40.000Z","dependencies_parsed_at":"2023-09-28T11:47:28.703Z","dependency_job_id":null,"html_url":"https://github.com/lyeoni/keras-mnist-CVAE","commit_stats":null,"previous_names":["lyeoni/keras-mnist-cvae"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/lyeoni/keras-mnist-CVAE","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lyeoni%2Fkeras-mnist-CVAE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lyeoni%2Fkeras-mnist-CVAE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lyeoni%2Fkeras-mnist-CVAE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lyeoni%2Fkeras-mnist-CVAE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lyeoni","download_url":"https://codeload.github.com/lyeoni/keras-mnist-CVAE/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lyeoni%2Fkeras-mnist-CVAE/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266194215,"owners_count":23890956,"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":["autoencoder","deep-learning","generative-model","keras","mnist","vae"],"created_at":"2024-11-06T02:24:54.798Z","updated_at":"2025-07-20T20:32:59.672Z","avatar_url":"https://github.com/lyeoni.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# keras-mnist-CVAE\nConditional Variational AutoEncoder on the MNIST data set using the keras API\n\n\n## Dependencies\n- keras\n- tensorflow\n- numpy\n- scipy\n- matplotlib\n\n## Results\n- Distribution of labeled data\n\n![alt text](https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/digits_latent_sapce.png)\n\n- Learned MNIST manifold (2-D latent space): change z sample on the x-axis\n\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_0.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_1.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_2.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_3.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_4.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_5.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_6.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_7.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_8.png\" width=\"600\"\u003e\n\u003cimg src=\"https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/change_z1_9.png\" width=\"600\"\u003e\n\n## Reference\n1. Learning Structured Output Representation using Deep Conditional Generative Models (paper): \nhttps://papers.nips.cc/paper/5775-learning-structured-output-representation-using-deep-conditional-generative-models\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flyeoni%2Fkeras-mnist-cvae","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flyeoni%2Fkeras-mnist-cvae","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flyeoni%2Fkeras-mnist-cvae/lists"}