{"id":14904278,"url":"https://github.com/xnought/vae-explainer","last_synced_at":"2025-04-10T13:10:29.529Z","repository":{"id":255499004,"uuid":"850341810","full_name":"xnought/vae-explainer","owner":"xnought","description":"Interactive Variational Autoencoder (VAE)","archived":false,"fork":false,"pushed_at":"2024-10-26T23:04:45.000Z","size":17323,"stargazers_count":47,"open_issues_count":0,"forks_count":4,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-24T11:56:49.529Z","etag":null,"topics":["keras","ml","tfjs"],"latest_commit_sha":null,"homepage":"https://xnought.github.io/vae-explainer/","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/xnought.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":"2024-08-31T14:04:16.000Z","updated_at":"2025-03-24T11:47:43.000Z","dependencies_parsed_at":"2024-10-27T00:18:21.423Z","dependency_job_id":"8597f612-1187-497d-a52f-824f8c96386a","html_url":"https://github.com/xnought/vae-explainer","commit_stats":null,"previous_names":["xnought/vae-explainer"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xnought%2Fvae-explainer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xnought%2Fvae-explainer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xnought%2Fvae-explainer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xnought%2Fvae-explainer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/xnought","download_url":"https://codeload.github.com/xnought/vae-explainer/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248225264,"owners_count":21068076,"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":["keras","ml","tfjs"],"created_at":"2024-09-22T13:01:26.763Z","updated_at":"2025-04-10T13:10:29.503Z","avatar_url":"https://github.com/xnought.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"\u003cimg src=\"public/logo.svg\"  width=\"400\"/\u003e\n\nLearn how Variational Autoencoders (VAE) work by visualizing one running in your browser. \n\n- Live Site: https://xnought.github.io/vae-explainer/\n- Paper: https://arxiv.org/abs/2409.09011\n- Also interetested in VQ-VAEs? Check out https://xnought.github.io/vq-vae-explainer/\n\n\nhttps://github.com/user-attachments/assets/ef788f0a-9c66-48fb-99d9-f4feb62ca9cd\n\n\n\n## Development\n\n```bash\npnpm install\npnpm dev\n```\nwhich runs the hot-reloading dev server at http://localhost:5173\n\n## Cite\n\n```bibtex\n@misc{bertucci2024vaeexplainer,\n      title={VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization}, \n      author={Donald Bertucci and Alex Endert},\n      year={2024},\n      eprint={2409.09011},\n      archivePrefix={arXiv},\n      primaryClass={cs.HC},\n      url={https://arxiv.org/abs/2409.09011}, \n}\n```\n\n## Code References\n\n- https://keras.io/examples/generative/vae/\n- https://www.ibm.com/think/topics/variational-autoencoder#:~:text=Variational%20autoencoders%20(VAEs)%20are%20generative,other%20autoencoders%2C%20such%20as%20denoising.\n- https://www.youtube.com/watch?v=9zKuYvjFFS8\n- https://arxiv.org/abs/1312.6114 (original VAE paper)\n- https://www.youtube.com/watch?v=afNuE5z2CQ8\n- https://keras.io/examples/keras_recipes/trainer_pattern/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxnought%2Fvae-explainer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxnought%2Fvae-explainer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxnought%2Fvae-explainer/lists"}