{"id":16739365,"url":"https://github.com/zafarali/paper-notes","last_synced_at":"2025-10-11T05:08:37.367Z","repository":{"id":78568201,"uuid":"77503066","full_name":"zafarali/paper-notes","owner":"zafarali","description":"notes from machine learning, reinforcement learning and other papers","archived":false,"fork":false,"pushed_at":"2018-03-02T02:54:52.000Z","size":20,"stargazers_count":9,"open_issues_count":0,"forks_count":7,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-15T22:43:47.104Z","etag":null,"topics":["computational-biology","deep-learning","deep-learning-papers","generative-model"],"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/zafarali.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":"2016-12-28T04:33:16.000Z","updated_at":"2024-12-02T08:00:47.000Z","dependencies_parsed_at":"2023-03-12T04:38:54.536Z","dependency_job_id":null,"html_url":"https://github.com/zafarali/paper-notes","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zafarali/paper-notes","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zafarali%2Fpaper-notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zafarali%2Fpaper-notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zafarali%2Fpaper-notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zafarali%2Fpaper-notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zafarali","download_url":"https://codeload.github.com/zafarali/paper-notes/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zafarali%2Fpaper-notes/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279006348,"owners_count":26084084,"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":"2025-10-11T02:00:06.511Z","response_time":55,"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":["computational-biology","deep-learning","deep-learning-papers","generative-model"],"created_at":"2024-10-13T00:50:33.538Z","updated_at":"2025-10-11T05:08:37.351Z","avatar_url":"https://github.com/zafarali.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# deep-notes\n\nNotes from deep learning papers and courses. Inspired by [dennybritz/deeplearning-papernotes](https://github.com/dennybritz/deeplearning-papernotes).\n\n## To Read:\n\n### Computer Vision\n\n- [ ] [Deconvolution Networks](http://www.matthewzeiler.com/pubs/cvpr2010/cvpr2010.pdf)\n- [ ] [Batch Normalization](https://arxiv.org/pdf/1502.03167v3.pdf)\n- [ ] [Tiny ImageNet Classification](http://cs231n.stanford.edu/reports/leonyao_final.pdf)\n- [x] [PixelRNN](https://arxiv.org/abs/1601.06759)\n\n### Generative Adverserial Networks\n\n- [x] [Generative Adversarial Nets](https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf)\n- [ ] [Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1411.1784v1.pdf)\n- [ ] [UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS](https://arxiv.org/pdf/1511.06434v2.pdf)\n- [ ] [Conditional generative adversarial nets for convolutional face generation](http://www.foldl.me/uploads/papers/tr-cgans.pdf)\n- [ ] [Automatic Colorization with Deep Convolutional Generative Adversarial Networks](http://cs231n.stanford.edu/reports2016/224_Report.pdf)\n\n### Reinforcement Learning\n\n- [x] [TOWARDS INFORMATION-SEEKING AGENTS](https://arxiv.org/pdf/1612.02605v1.pdf)\n\n### Computational Biology\n\n- [x] DeepCancer: Detecting Cancer through Gene Expressions via Deep Generative Learning\n- [x] Creating a universal SNP and small indel variant caller with deep neural networks\n- [x] Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.\n- [ ] Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs\n\n\n## Courses:\n\n- [ ] [CS231n Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzafarali%2Fpaper-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzafarali%2Fpaper-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzafarali%2Fpaper-notes/lists"}