{"id":19140285,"url":"https://github.com/zhaoj9014/dynamic-conditional-networks.pytorch","last_synced_at":"2025-07-19T22:03:24.677Z","repository":{"id":133620570,"uuid":"142806064","full_name":"ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch","owner":"ZhaoJ9014","description":"🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥","archived":false,"fork":false,"pushed_at":"2021-12-09T07:17:00.000Z","size":513,"stargazers_count":154,"open_issues_count":1,"forks_count":32,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-06-28T08:46:56.937Z","etag":null,"topics":["conditional-model","deep-learning","dynamic-convolution","few-shot-learning","filter-bank"],"latest_commit_sha":null,"homepage":"","language":"Python","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/ZhaoJ9014.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":"2018-07-30T00:32:16.000Z","updated_at":"2025-01-23T14:58:45.000Z","dependencies_parsed_at":null,"dependency_job_id":"a6283532-824d-49c7-a44d-133562c219eb","html_url":"https://github.com/ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZhaoJ9014%2FDynamic-Conditional-Networks.PyTorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZhaoJ9014%2FDynamic-Conditional-Networks.PyTorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZhaoJ9014%2FDynamic-Conditional-Networks.PyTorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZhaoJ9014%2FDynamic-Conditional-Networks.PyTorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ZhaoJ9014","download_url":"https://codeload.github.com/ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZhaoJ9014%2FDynamic-Conditional-Networks.PyTorch/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266026106,"owners_count":23866030,"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":["conditional-model","deep-learning","dynamic-convolution","few-shot-learning","filter-bank"],"created_at":"2024-11-09T07:17:01.882Z","updated_at":"2025-07-19T22:03:24.636Z","avatar_url":"https://github.com/ZhaoJ9014.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"### Dynamic Conditional Networks for Few Shot Learning\n\n\n- Pytorch implementation of the algorithm in our ECCV 2018 [Paper](https://www.researchgate.net/publication/326584672_Dynamic_Conditional_Networks_for_Few-Shot_Learning).\n\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"pub/DCL.png\" width=\"500\"\u003e\n\u003c/p\u003e\n\n\n## Getting Started\nClone the repo:\n\n```\ngit clone https://github.com/ZhaoJ9014/Dynamic-Conditional-Networks-for-Few-Shot-Learning.pytorch.git\n```\n\n### Requirements\n\nTested under python3.\n\n- python packages\n  - pytorch\u003e=0.3.1\n  - Anaconda3\n- An NVIDAI GPU and CUDA 8.0 or higher. Some operations only have gpu implementation.\n- **NOTICE**: different versions of Pytorch package have different memory usages.\n\n\n## Citation\n- Please consult and consider citing the following paper:\n\n      @inproceedings{zhao2018dynamic,\n      title={Dynamic Conditional Networks for Few-Shot Learning},\n      author={Zhao, Fang and Zhao, Jian and Yan, Shuicheng and Feng, Jiashi},\n      booktitle={ECCV},\n      pages={19--35},\n      year={2018}\n      }\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzhaoj9014%2Fdynamic-conditional-networks.pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzhaoj9014%2Fdynamic-conditional-networks.pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzhaoj9014%2Fdynamic-conditional-networks.pytorch/lists"}