{"id":17800171,"url":"https://github.com/karenullrich/binary-vae","last_synced_at":"2025-08-17T07:08:14.135Z","repository":{"id":87601811,"uuid":"191539346","full_name":"KarenUllrich/binary-VAE","owner":"KarenUllrich","description":"A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.","archived":false,"fork":false,"pushed_at":"2020-02-01T11:03:07.000Z","size":36,"stargazers_count":21,"open_issues_count":1,"forks_count":3,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-02T05:01:43.484Z","etag":null,"topics":["bernoulli","binary","concrete-distribution","tensorflow","tensorflow-eager","tensorflow-probability","vae","variational-autoencoder","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":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/KarenUllrich.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":"2019-06-12T09:22:47.000Z","updated_at":"2024-06-26T09:47:52.000Z","dependencies_parsed_at":null,"dependency_job_id":"0cce7742-b864-4c97-99b1-6a81fd59321f","html_url":"https://github.com/KarenUllrich/binary-VAE","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/KarenUllrich/binary-VAE","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarenUllrich%2Fbinary-VAE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarenUllrich%2Fbinary-VAE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarenUllrich%2Fbinary-VAE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarenUllrich%2Fbinary-VAE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/KarenUllrich","download_url":"https://codeload.github.com/KarenUllrich/binary-VAE/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KarenUllrich%2Fbinary-VAE/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270817219,"owners_count":24650954,"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":"2025-08-17T02:00:09.016Z","response_time":129,"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":["bernoulli","binary","concrete-distribution","tensorflow","tensorflow-eager","tensorflow-probability","vae","variational-autoencoder","variational-inference"],"created_at":"2024-10-27T12:15:31.127Z","updated_at":"2025-08-17T07:08:14.127Z","avatar_url":"https://github.com/KarenUllrich.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"##  Binary VAE with BinConcrete latent distribution\n\nTensorflow implmentation of a VAE with Bininary Concrete (BinConcrete) latent distribution, based on:\n\n[\"The concrete distribution: A continuous relaxation of discrete random variables\"](https://arxiv.org/pdf/1611.00712.pdf)\nMaddison, Chris J., Andriy Mnih, and Yee Whye Teh, ICLR, 2017\n\n\nYou can simply run this code by\n\n\tpython experiment.py\n\n### Requirements\n\nThis code has been tested with\n-   `python 3.6`\n-   `tensorflow 2.1.0` \n-   `tensorflow-probability 0.9.0` \n-   `matplotlib 3.1.2` \n\n\nInstall conda environment via\n\n\n\tconda env create -f environment.yml \n\tsource activate binary_vae\n\n\n### Maintenance\n\nPlease be warned that this repository is not going to be maintained regularly.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkarenullrich%2Fbinary-vae","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkarenullrich%2Fbinary-vae","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkarenullrich%2Fbinary-vae/lists"}