{"id":18096089,"url":"https://github.com/newplan/nvcaffe-dlbooster","last_synced_at":"2025-04-06T03:23:10.272Z","repository":{"id":134550826,"uuid":"139375846","full_name":"NEWPLAN/nvcaffe-dlbooster","owner":"NEWPLAN","description":"special_designed_for_nvcaffe","archived":false,"fork":false,"pushed_at":"2022-10-16T22:50:26.000Z","size":12938,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-12T09:34:53.237Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NEWPLAN.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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":"2018-07-02T01:22:55.000Z","updated_at":"2021-03-30T02:44:31.000Z","dependencies_parsed_at":"2023-04-26T00:46:49.106Z","dependency_job_id":null,"html_url":"https://github.com/NEWPLAN/nvcaffe-dlbooster","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/NEWPLAN%2Fnvcaffe-dlbooster","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NEWPLAN%2Fnvcaffe-dlbooster/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NEWPLAN%2Fnvcaffe-dlbooster/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NEWPLAN%2Fnvcaffe-dlbooster/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NEWPLAN","download_url":"https://codeload.github.com/NEWPLAN/nvcaffe-dlbooster/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247428052,"owners_count":20937398,"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":[],"created_at":"2024-10-31T19:12:33.378Z","updated_at":"2025-04-06T03:23:10.253Z","avatar_url":"https://github.com/NEWPLAN.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Caffe\n\nCaffe is a deep learning framework made with expression, speed, and modularity in mind.\nIt is developed by the Berkeley Vision and Learning Center ([BVLC](http://bvlc.eecs.berkeley.edu))\nand community contributors.\n\n# NVCaffe\n\nNVIDIA Caffe ([NVIDIA Corporation \u0026copy;2017](http://nvidia.com)) is an NVIDIA-maintained fork\nof BVLC Caffe tuned for NVIDIA GPUs, particularly in multi-GPU configurations.\nHere are the major features:\n* **16 bit (half) floating point train and inference support**.\n* **Mixed-precision support**. It allows to store and/or compute data in either \n64, 32 or 16 bit formats. Precision can be defined for every layer (forward and \nbackward passes might be different too), or it can be set for the whole Net.\n* **Layer-wise Adaptive Rate Control (LARC) and adaptive global gradient scaler** for better\n accuracy, especially in 16-bit training.\n* **Integration with  [cuDNN](https://developer.nvidia.com/cudnn) v7**.\n* **Automatic selection of the best cuDNN convolution algorithm**.\n* **Integration with v2.2 of [NCCL library](https://github.com/NVIDIA/nccl)**\n for improved multi-GPU scaling.\n* **Optimized GPU memory management** for data and parameters storage, I/O buffers \nand workspace for convolutional layers.\n* **Parallel data parser, transformer and image reader** for improved I/O performance.\n* **Parallel back propagation and gradient reduction** on multi-GPU systems.\n* **Fast solvers implementation with fused CUDA kernels for weights and history update**.\n* **Multi-GPU test phase** for even memory load across multiple GPUs.\n* **Backward compatibility with BVLC Caffe and NVCaffe 0.15 and higher**.\n* **Extended set of optimized models** (including 16 bit floating point examples).\n\n\n## License and Citation\n\nCaffe is released under the [BSD 2-Clause license](https://github.com/BVLC/caffe/blob/master/LICENSE).\nThe BVLC reference models are released for unrestricted use.\n\nPlease cite Caffe in your publications if it helps your research:\n\n    @article{jia2014caffe,\n      Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},\n      Journal = {arXiv preprint arXiv:1408.5093},\n      Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},\n      Year = {2014}\n    }\n\n## Useful notes\n\nLibturbojpeg library is used since 0.16.5. It has a packaging bug. Please execute the following (required for Makefile, optional for CMake):\n```\nsudo apt-get install libturbojpeg\nsudo ln -s /usr/lib/x86_64-linux-gnu/libturbojpeg.so.0.1.0 /usr/lib/x86_64-linux-gnu/libturbojpeg.so\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnewplan%2Fnvcaffe-dlbooster","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnewplan%2Fnvcaffe-dlbooster","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnewplan%2Fnvcaffe-dlbooster/lists"}