{"id":25065500,"url":"https://github.com/jmcheon/transformers","last_synced_at":"2026-05-04T09:33:36.551Z","repository":{"id":267489289,"uuid":"894767039","full_name":"jmcheon/Transformers","owner":"jmcheon","description":null,"archived":false,"fork":false,"pushed_at":"2025-03-27T11:02:17.000Z","size":22398,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-27T12:22:41.941Z","etag":null,"topics":["computer-vision","natural-language-processing","python3","pytorch","research-paper-implementation","tensorflow","transformer-architecture","transformer-models"],"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":"2024-11-27T00:27:16.000Z","updated_at":"2025-03-27T11:02:21.000Z","dependencies_parsed_at":"2025-02-06T19:41:41.637Z","dependency_job_id":"55e41daa-b181-48d6-bd0e-23e476bc463b","html_url":"https://github.com/jmcheon/Transformers","commit_stats":null,"previous_names":["jmcheon/transformer","jmcheon/transformers"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2FTransformers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2FTransformers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2FTransformers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmcheon%2FTransformers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jmcheon","download_url":"https://codeload.github.com/jmcheon/Transformers/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246473493,"owners_count":20783287,"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","natural-language-processing","python3","pytorch","research-paper-implementation","tensorflow","transformer-architecture","transformer-models"],"created_at":"2025-02-06T19:41:32.076Z","updated_at":"2025-10-28T07:18:00.806Z","avatar_url":"https://github.com/jmcheon.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Transformers\n\nThis repository contains implementations of moderne AI architectures from research papers.\n\n## Paper Naming Convention\n\nEach implementation follows this naming format:\n`{paper_alias}_{paper_year}`\n\n## 📌 Computer Vision and Pattern Recognition\n\n- **R-CNN_2013** - [Rich feature hierarchies for accurate object detection and semantic segmentation](https://arxiv.org/abs/1311.2524)\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- **YOLOv1_2015** - [You Only Look Once: Unified, Real-Time Object Detection](https://arxiv.org/abs/1506.02640)\n- **SegNet_2015** - [SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation](https://arxiv.org/abs/1511.00561)\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- **Vision_Transformer_2020** - [An Image is Worth 16x16 Words: Transformer for Image Recognition at Scale](https://arxiv.org/abs/2010.11929)\n- **CLIP_2021** - [Learning Transferable Visual Models from Natural Language Supervision](https://arxiv.org/abs/2103.00020)\n- **Swin_Transformer_2021** - [Hierarchical Vision Transformer Using Shifted Windows](https://arxiv.org/abs/2103.14030)\n- **SwinIR_2021** - [SwinIR: Image Restoration Using Swin Transformer](https://arxiv.org/abs/2108.10257)\n\n## 📌 Computation and Language\n\n- **seq2seq_2014** - [Sequence to Sequence Learning with Neural Networks](https://arxiv.org/abs/1409.32152)\n- **Transformer_2017** - [Attention Is All You Need](https://arxiv.org/abs/1706.03762)\n- **BERT_2018** - [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmcheon%2Ftransformers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjmcheon%2Ftransformers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmcheon%2Ftransformers/lists"}