{"id":26451052,"url":"https://github.com/jmcheon/paper_impl","last_synced_at":"2026-04-18T13:34:56.939Z","repository":{"id":282874731,"uuid":"941591390","full_name":"jmcheon/paper_impl","owner":"jmcheon","description":null,"archived":false,"fork":false,"pushed_at":"2025-03-17T11:37:25.000Z","size":18517,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-17T12:34:32.902Z","etag":null,"topics":["python3","pytorch","research-paper-implementation","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/jmcheon.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":"2025-03-02T16:49:47.000Z","updated_at":"2025-03-17T11:37:29.000Z","dependencies_parsed_at":"2025-03-17T12:46:26.988Z","dependency_job_id":null,"html_url":"https://github.com/jmcheon/paper_impl","commit_stats":null,"previous_names":["jmcheon/paper_impl"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jmcheon/paper_impl","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2Fpaper_impl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2Fpaper_impl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2Fpaper_impl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2Fpaper_impl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jmcheon","download_url":"https://codeload.github.com/jmcheon/paper_impl/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2Fpaper_impl/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31971488,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T00:39:45.007Z","status":"online","status_checked_at":"2026-04-18T02:00:07.018Z","response_time":103,"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":["python3","pytorch","research-paper-implementation","tensorflow"],"created_at":"2025-03-18T16:31:27.691Z","updated_at":"2026-04-18T13:34:56.900Z","avatar_url":"https://github.com/jmcheon.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Paper Implementation\n\nThis repository contains implementations of moderne AI architectures from research papers.\n\n\n## Paper Naming Convention\nEach implementation follows this naming format:\n`\n{paper_alias}_{paper_year}\n`\n## 📌 Computer Vision and Pattern Recognition\n- **VGG_2014** - [Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/pdf/1409.1556)\n- **FCN_2014** - [Fully Convolutional Networks for Semantic Segmentation](https://arxiv.org/pdf/1411.4038)\n- **UNet_2015** - [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/abs/1505.04597)\n- **ResNet_2015** - [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)\n- **MobileNetV1_2017** - [MobileNets: Efficient Convolutional Nerual Networks for Mobile Vision Applications](https://arxiv.org/abs/1704.04861)\n- **MobileNetV2_2018** - [MobileNetV2: Inverted Residuals and Linear Bottlenecks](https://arxiv.org/abs/1801.04381)\n- **SID_2018** - [Learning to See in the Dark](https://arxiv.org/abs/1805.01934)\n\n## 📌 Computation and Languages\n- **Transformer_2017** - [Attention Is All You Need](https://arxiv.org/abs/1706.03762)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmcheon%2Fpaper_impl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjmcheon%2Fpaper_impl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmcheon%2Fpaper_impl/lists"}