{"id":19068727,"url":"https://github.com/machine-learning-tokyo/generative_deep_learning","last_synced_at":"2025-04-28T13:41:47.653Z","repository":{"id":85590615,"uuid":"249005860","full_name":"Machine-Learning-Tokyo/generative_deep_learning","owner":"Machine-Learning-Tokyo","description":"Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)","archived":false,"fork":false,"pushed_at":"2020-05-09T14:22:12.000Z","size":4370,"stargazers_count":24,"open_issues_count":1,"forks_count":9,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-18T16:26:34.212Z","etag":null,"topics":["gans","generative-adversarial-networks","generative-model","stylegan","vae","wgan","wgan-gp"],"latest_commit_sha":null,"homepage":"https://www.meetup.com/Machine-Learning-Tokyo/","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/Machine-Learning-Tokyo.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":"2020-03-21T15:36:00.000Z","updated_at":"2025-01-11T03:36:28.000Z","dependencies_parsed_at":"2023-05-06T04:47:21.248Z","dependency_job_id":null,"html_url":"https://github.com/Machine-Learning-Tokyo/generative_deep_learning","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/Machine-Learning-Tokyo%2Fgenerative_deep_learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2Fgenerative_deep_learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2Fgenerative_deep_learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2Fgenerative_deep_learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Machine-Learning-Tokyo","download_url":"https://codeload.github.com/Machine-Learning-Tokyo/generative_deep_learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251321297,"owners_count":21570711,"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":["gans","generative-adversarial-networks","generative-model","stylegan","vae","wgan","wgan-gp"],"created_at":"2024-11-09T01:11:33.999Z","updated_at":"2025-04-28T13:41:47.631Z","avatar_url":"https://github.com/Machine-Learning-Tokyo.png","language":"Jupyter Notebook","readme":"# Generative Deep Learning\n\nThis repository contains notes from the MLT Generative Deep Learning sessions (reading \u0026 discussion), led by Anuragah Sinha.\n\n# Sessions\n\nAll sessions are dedicated to reading and discussing:\n[\"Generative Deep Learning\" by David Foster (O'Reilly)](https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/)\n\nNotes including images and other references:\n- Title: Generative Deep Learning\n- Author: David Foster\n- Release date: June 2019\n- Publisher(s): O'Reilly Media, Inc.\n- ISBN: 9781492041931\n\n## Part 1 - Introduction to Generative Deep Learning\n\n📌 Session # 1\nChapter 1 : Generative Modeling\nChapter 2 : Deep Learning\n\n📌 Session #2\nChapter 3 : Variational Autoencoders\n\n📌 Session #3\nChapter 4 : Generative Adversarial Networks\n\n## Part 2 - Teaching Machines to Paint, Write, Compose and Play\n\n📌 Session #4\nChapter 5 : Paint\n\n📌 Session #5\nChapter 6 : Write\n\n📌 Session #6\nChapter 7 : Compose\n\n📌 Session #7\nChapter 8 : Play\n\n📌 Session #8\nChapter 9 : The Future of Generative Modelling\nConclusion\n\nSessions are ongoing and held online weekly on Saturdays 3-5 pm (JST). Join us on [Meetup](https://www.meetup.com/Machine-Learning-Tokyo/).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachine-learning-tokyo%2Fgenerative_deep_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachine-learning-tokyo%2Fgenerative_deep_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachine-learning-tokyo%2Fgenerative_deep_learning/lists"}