{"id":18892997,"url":"https://github.com/dongjunlee/notes","last_synced_at":"2025-04-15T00:14:00.685Z","repository":{"id":236588803,"uuid":"114512113","full_name":"DongjunLee/notes","owner":"DongjunLee","description":"The notes for Math, Machine Learning, Deep Learning and Research papers.","archived":false,"fork":false,"pushed_at":"2019-09-29T13:16:23.000Z","size":25933,"stargazers_count":52,"open_issues_count":0,"forks_count":13,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-04-15T00:13:44.550Z","etag":null,"topics":["computer-vision","deep-learning","generative-model","machine-learning","natural-language-processing","notes","optimization","reinforcement-learning","summary"],"latest_commit_sha":null,"homepage":"https://humanbrain.gitbook.io/notes/","language":"Python","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/DongjunLee.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-12-17T05:33:01.000Z","updated_at":"2024-12-03T14:09:16.000Z","dependencies_parsed_at":"2024-04-28T00:02:32.992Z","dependency_job_id":null,"html_url":"https://github.com/DongjunLee/notes","commit_stats":null,"previous_names":["dongjunlee/notes"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DongjunLee%2Fnotes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DongjunLee%2Fnotes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DongjunLee%2Fnotes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DongjunLee%2Fnotes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DongjunLee","download_url":"https://codeload.github.com/DongjunLee/notes/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248981271,"owners_count":21193147,"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":["computer-vision","deep-learning","generative-model","machine-learning","natural-language-processing","notes","optimization","reinforcement-learning","summary"],"created_at":"2024-11-08T08:06:58.246Z","updated_at":"2025-04-15T00:14:00.664Z","avatar_url":"https://github.com/DongjunLee.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# notes [![hb-research](https://img.shields.io/badge/hb--research-notes-green.svg?style=flat\u0026colorA=448C57\u0026colorB=555555)](https://github.com/hb-research) [![hb-research](https://img.shields.io/badge/HB--Wiki-Notion-green.svg?style=flat\u0026colorA=448C59\u0026colorB=555555)](https://github.com/hb-research)\n\n\nThe notes for Math, Machine Learning, Deep Learning and Research papers.\n\n\n## Objective\n\n![image](images/data_to_wisdom.jpg)\n\n\u003cp align=\"center\"\u003e\nIllustration by \u003ca href=\"http://www.smrvl.com/blog/\"\u003eDavid Somerville\u003c/a\u003e based on the original by \u003ca href=\"https://twitter.com/gapingvoid/statuses/423952995240648704\"\u003eHugh McLeod\u003c/a\u003e\n\u003c/p\u003e\n\n\u003cbr/\u003e\n\n- Let's make **wisdom** from knowledge.\n- Define concepts to be intuitively understandable.\n    * Simply summary (You can check the details on Wiki)\n    * With `story` or example\n    * Draw an `illustration`\n    * If possible, append a `code`\n- ~~Documentation by [Gitbook](https://humanbrain.gitbook.io/notes/)~~\n- Documentation by [Notion](https://www.notion.so/Machine-Learninig-5e1a0088828045e995b07f34a05a614a)\n\n## Usage\n\n- Sync papers (* recommend path like Google Drive's sync folder) \n \n```\npython scripts/sync_papers.py {SYNC_PATH}\n```\n\n- Make `SUMMARY.md`\n\n```\npython scripts/make_summary.py\n```\n\n---\n\n\n## Knowledge Source\n\n### Math\n\n- Course \u0026 Video\n\t* [Statistics 110: Probability - Projects at Harvard](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)\n\t* [Mathematics for Machine Learning: Linear Algebra by David Dye](https://www.coursera.org/learn/linear-algebra-machine-learning)\n\n### Machine Learning\n\t\n- Course \u0026 Video\n\t* [Stanford University - Machine Learning](https://www.coursera.org/learn/machine-learning) by Andrew Ng.\n\t* [Stanford University - Probabilistic Graphical Models](https://www.coursera.org/course/pgm) by Daphne Koller\n\t* [OXFORD University - Machine Learning](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/)\n\n### Deep Learning\n\n- Book\n    * [Deep Learning](http://www.deeplearningbook.org/) by Ian Goodfellow Yoshua Bengio and Aaron Courville, 2016\n\n- Course \u0026 Video\n\t* [Stanford University - CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/index.html) by Fei-Fei Li, Andrej Karpathy, Justin Johnson\n\t* [Udacity - Deep Learning](https://www.udacity.com/course/deep-learning--ud730) by Vincent Vanhoucke, Arpan Chakraborty\n\t* [Toronto University - Neural Networks for Machine Learning](https://www.coursera.org/course/neuralnets) by Geoffrey Hinton\n\t* [CS224d: Deep Learning for Natural Language Processing](http://cs224d.stanford.edu/index.html) by Richard Socher\n\t* [Deep Learning School (bayareadlschool)](http://www.bayareadlschool.org/) September 24-25, 2016 Stanford, CA\n\t* [Oxford Deep NLP 2017](https://github.com/oxford-cs-deepnlp-2017/lectures) by  Phil Blunsom and delivered in partnership with the DeepMind Natural Language Research Group.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdongjunlee%2Fnotes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdongjunlee%2Fnotes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdongjunlee%2Fnotes/lists"}