{"id":19068701,"url":"https://github.com/machine-learning-tokyo/papers-with-annotations","last_synced_at":"2026-02-22T09:03:48.650Z","repository":{"id":41179600,"uuid":"268501518","full_name":"Machine-Learning-Tokyo/papers-with-annotations","owner":"Machine-Learning-Tokyo","description":"Research papers with annotations, illustrations and explanations","archived":false,"fork":false,"pushed_at":"2021-04-10T07:18:24.000Z","size":65335,"stargazers_count":828,"open_issues_count":0,"forks_count":75,"subscribers_count":84,"default_branch":"master","last_synced_at":"2025-01-02T15:26:08.037Z","etag":null,"topics":["computer-vision","deep-learning","machine-learning"],"latest_commit_sha":null,"homepage":"","language":null,"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}},"created_at":"2020-06-01T11:21:59.000Z","updated_at":"2024-12-23T13:13:21.000Z","dependencies_parsed_at":"2022-08-18T23:11:20.025Z","dependency_job_id":null,"html_url":"https://github.com/Machine-Learning-Tokyo/papers-with-annotations","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%2Fpapers-with-annotations","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2Fpapers-with-annotations/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2Fpapers-with-annotations/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2Fpapers-with-annotations/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Machine-Learning-Tokyo","download_url":"https://codeload.github.com/Machine-Learning-Tokyo/papers-with-annotations/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240122476,"owners_count":19751140,"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","machine-learning"],"created_at":"2024-11-09T01:11:23.637Z","updated_at":"2025-10-26T18:21:15.627Z","avatar_url":"https://github.com/Machine-Learning-Tokyo.png","language":null,"readme":"# Papers with Annotations (PwA)\n\n\u003cp align=\"center\"\u003e \u003cimg src=\"https://github.com/Machine-Learning-Tokyo/papers-with-annotations/blob/master/MLT_PwA.gif\" width=\"500\" /\u003e \u003c/p\u003e\n\n\n\n(created by Alisher Abdulkhaev. [Twitter](https://twitter.com/alisher_ai) | [LinkedIn](https://www.linkedin.com/in/alisher-abdulkhaev/) | [GitHub](https://github.com/alisher0717) | alisher@mltokyo.ai)\n\nThis project compiles multiple (AI-related) papers with illustrations, annotations, and brief explanations for technical keywords, terms and previous studies which makes them easier to read and to get the main idea intuitively.\n\n- [object detection PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/tree/master/object-detection)\n- [ai and cognitive science related PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/tree/master/ai-and-cognitive-science)\n- [unsupervised and semi/self-supervised learning related PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/blob/master/unsupervised-and-semi-supervised-learning)\n- [convolutional neural networks related PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/blob/master/convolutional-neural-networks/README.md)\n- [miscellaneous PwA](https://github.com/Machine-Learning-Tokyo/papers-with-annotations/blob/master/miscellaneous/README.md)\n\nPlease feel free to open new PR (pull request) if you have such kind of annotated research papers (related to AI, ML, DL, neuroscience, cognitive sciences). \n\n\nAlso, please give us a feedback by opening an issue on this repository. We are looking forward for your collaboration! \n\n---\n\u003cdetails\u003e\n \u003csummary\u003e\u003cb\u003e\n  Annotation tools:\n \u003c/b\u003e\u003c/summary\u003e\n  \n## How are the annotations generated:\n📌 **Software:** Notability App — import pdf to the App, make annotations (handwriten notes, import the figures, stickers, etc) and export the pdf.\n\n📌 **Hardware:** iPad (6th generation) with Apple Pencil (1st generation). However, any iPad (which supports Apple pencil) or any Android tablets should be fine. \n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n \u003csummary\u003e\u003cb\u003e\n  Featured at:\n \u003c/b\u003e\u003c/summary\u003e\n\n📌 [MLT's Blog](https://machinelearningtokyo.com/2020/06/25/papers-with-annotations/)\n\n📌 [David Ha's tweet](https://twitter.com/hardmaru/status/1275690178699542529?s=20)\n\n📌 [www.analyticsvidhya.com](https://www.analyticsvidhya.com/blog/2020/07/7-open-source-data-science-projects-add-resume/?unapproved=162210\u0026moderation-hash=6e766ca8354bb4f681ca290eb6a65647#comment-162210)\n\u003c/details\u003e\n\n\u003cdetails\u003e\n \u003csummary\u003e\u003cb\u003e\n  Contributors: \n \u003c/b\u003e\u003c/summary\u003e\n \n- Alisher Abdulkhaev\n- Jayson Cunanan\n\u003c/details\u003e\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachine-learning-tokyo%2Fpapers-with-annotations","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachine-learning-tokyo%2Fpapers-with-annotations","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachine-learning-tokyo%2Fpapers-with-annotations/lists"}