{"id":16739404,"url":"https://github.com/zafarali/generative","last_synced_at":"2025-04-10T13:14:06.319Z","repository":{"id":78568192,"uuid":"81743228","full_name":"zafarali/generative","owner":"zafarali","description":"Repository to explore Generative Models","archived":false,"fork":false,"pushed_at":"2017-03-04T05:01:20.000Z","size":10,"stargazers_count":7,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-24T11:56:55.713Z","etag":null,"topics":["generative-model","machine-learning","variational-inference"],"latest_commit_sha":null,"homepage":null,"language":"Python","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/zafarali.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":"2017-02-12T17:25:32.000Z","updated_at":"2022-01-09T11:10:15.000Z","dependencies_parsed_at":"2023-03-12T04:38:54.220Z","dependency_job_id":null,"html_url":"https://github.com/zafarali/generative","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/zafarali%2Fgenerative","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zafarali%2Fgenerative/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zafarali%2Fgenerative/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zafarali%2Fgenerative/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zafarali","download_url":"https://codeload.github.com/zafarali/generative/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248225653,"owners_count":21068078,"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-model","machine-learning","variational-inference"],"created_at":"2024-10-13T00:50:51.873Z","updated_at":"2025-04-10T13:14:05.894Z","avatar_url":"https://github.com/zafarali.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# generative\n\nRepository to explore Generative Models and in particular image completion methods.\n\n\n## Variational Autodencoders\n\nReferences: \n\n0. [Image Completion with Deep Learning in TensorFlow](https://bamos.github.io/2016/08/09/deep-completion/)\n1. [Building Autoencoders in Keras](https://blog.keras.io/building-autoencoders-in-keras.html)\n2. [Tutorial On Variational Autoencoders](https://arxiv.org/abs/1606.05908)\n3. [What is a Variational Autoencoder?](https://jaan.io/what-is-variational-autoencoder-vae-tutorial/)\n4. [Auto-Encoding Variational Bayes](https://arxiv.org/abs/1312.6114)\n5. [Learning Structured Output Representation using Deep Conditional Generative Models](https://papers.nips.cc/paper/5775-learning-structured-output-representation-using-deep-conditional-generative-models)\n\n### Variational Autoencoders (VAE)\n\nFound in `./vae.keras.py`. After about 15 epochs the latent encodings looks like this: (apologies for the lack of a legend.)\n\n![image](https://cloud.githubusercontent.com/assets/6295292/23576231/9893d016-006d-11e7-8570-f5143a5370b6.png)\n\n\nand we can visualize the latent space manifold:\n\n![image](https://cloud.githubusercontent.com/assets/6295292/23576235/a463153c-006d-11e7-975d-97a9ae9a60d0.png)\n\n\n### Conditional Variational Autoencoders (CVAE)\n\nFound in `./cvae.keras.py`. After about two epochs I am able to generate samples:\n\n![image](https://cloud.githubusercontent.com/assets/6295292/23576118/300547b2-006a-11e7-918a-7522748b5397.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzafarali%2Fgenerative","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzafarali%2Fgenerative","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzafarali%2Fgenerative/lists"}