{"release":{"tag":{"name":"23.12","path":"/deep-spark/deepsparkhub/tags/23.12","tree_path":"/deep-spark/deepsparkhub/tree/23.12","message":"DeepSparkHub 23.12 Release","commit":{"id":"c833a7fdd0e6769c3e7129e43e36112c3666614a","short_id":"c833a7f","title":"!296 add reference in Nerf README.md and format","title_markdown":"\u003Ca title=\"Pull Request: add reference in Nerf README.md and format\" class=\"gfm gfm-pull_request\" href=\"/deep-spark/deepsparkhub/pulls/296\"\u003E!296\u003C/a\u003Eadd reference in Nerf README.md and format","description":"* update README.md\n* update and format hashnerf readme","description_markdown":"* update README.md\n* update and format hashnerf readme","message":"!296 add reference in Nerf README.md and format\n* update README.md\n* update and format hashnerf readme\n","message_markdown":"\u003Ca title=\"Pull Request: add reference in Nerf README.md and format\" class=\"gfm gfm-pull_request\" href=\"/deep-spark/deepsparkhub/pulls/296\"\u003E!296\u003C/a\u003Eadd reference in Nerf README.md and format\n* update README.md\n* update and format hashnerf readme","detail_path":"/deep-spark/deepsparkhub/commit/c833a7fdd0e6769c3e7129e43e36112c3666614a","commits_path":"/deep-spark/deepsparkhub/commits/c833a7fdd0e6769c3e7129e43e36112c3666614a","tree_path":"/deep-spark/deepsparkhub/tree/c833a7fdd0e6769c3e7129e43e36112c3666614a","author":{"name":"majorli6","email":"mingjiang.li@iluvatar.com","username":"majorli6","user_path":"/majorli6","enterprise_user_path":null,"image_path":"https://foruda.gitee.com/avatar/1667877610594505300/11700637_majorli6_1667877610.png!avatar30","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"committer":{"name":"majorli6","email":"mingjiang.li@iluvatar.com","username":"majorli6","user_path":"/majorli6","enterprise_user_path":null,"image_path":"https://foruda.gitee.com/avatar/1667877610594505300/11700637_majorli6_1667877610.png!avatar30","is_gitee_user":true,"is_enterprise_user":null,"widget_url":""},"authored_date":"2023-12-18T09:45:59+00:00","committed_date":"2023-12-18T09:45:59+00:00","signature":null,"build_state":null},"archive_path":"/deep-spark/deepsparkhub/repository/archive/23.12","signature":null},"operating":{"edit":false,"download":true,"destroy":false,"enterprise_forbid_zip":false},"release":{"title":"DeepSparkHub 23.12 Release","path":"/deep-spark/deepsparkhub/releases/tag/23.12","tag_path":"/deep-spark/deepsparkhub/tree/23.12","project_id":25366410,"created_at":"2023-12-26T10:25:01+08:00","is_prerelease":false,"description":"## DeepSparkHub 23.12 Release Notes\r\n\r\n### 特性和增强\r\n\r\n#### 模型与算法\r\n\r\n* 新增了30个算法模型。\r\n\r\n\u003Ctable\u003E\r\n    \u003Ctr\u003E\u003Cth colspan=6\u003EPyTorch\u003C/th\u003E\u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n        \u003Ctd\u003EACNet\u003C/td\u003E\r\n        \u003Ctd\u003ECo-DETR\u003C/td\u003E\r\n        \u003Ctd\u003EControlNet\u003C/td\u003E\r\n        \u003Ctd\u003EDBNet++\u003C/td\u003E\r\n        \u003Ctd\u003EDDPM\u003C/td\u003E\r\n        \u003Ctd\u003EEfficient Conformer V2\u003C/td\u003E\r\n    \u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n        \u003Ctd\u003EMask2Former\u003C/td\u003E\r\n        \u003Ctd\u003EOriented RepPoints\u003C/td\u003E\r\n        \u003Ctd\u003ERepMLP\u003C/td\u003E\r\n        \u003Ctd\u003ERepViT\u003C/td\u003E\r\n        \u003Ctd\u003ERTMDet\u003C/td\u003E\r\n        \u003Ctd\u003ESOLOv2\u003C/td\u003E\r\n    \u003C/tr\u003E\r\n    \u003Ctr\u003E\u003Cth colspan=6\u003EPaddlePaddle\u003C/th\u003E\u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n        \u003Ctd\u003EBlazeFace\u003C/td\u003E\r\n        \u003Ctd\u003EByteTrack\u003C/td\u003E\r\n        \u003Ctd\u003EDLRM\u003C/td\u003E\r\n        \u003Ctd\u003EDQN\u003C/td\u003E\r\n        \u003Ctd\u003EEfficientNetB0\u003C/td\u003E\r\n        \u003Ctd\u003EFastFCN\u003C/td\u003E    \r\n    \u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n        \u003Ctd\u003EFFM\u003C/td\u003E\r\n        \u003Ctd\u003EGAT\u003C/td\u003E\r\n        \u003Ctd\u003EGraphSAGE\u003C/td\u003E\r\n        \u003Ctd\u003EPix2Pix\u003C/td\u003E\r\n        \u003Ctd\u003EPP-HumanSegV1\u003C/td\u003E\r\n        \u003Ctd\u003ERes2Net50_14w_8s\u003C/td\u003E\r\n    \u003C/tr\u003E\r\n    \u003Ctr\u003E\r\n        \u003Ctd\u003ESE_ResNet50_vd\u003C/td\u003E\r\n        \u003Ctd\u003ESTDC\u003C/td\u003E\r\n        \u003Ctd\u003EPP-TTS-FastSpeech2\u003C/td\u003E\r\n        \u003Ctd\u003EXception41\u003C/td\u003E\r\n        \u003Ctd\u003ExDeepFM\u003C/td\u003E\r\n        \u003Ctd\u003EXLNet\u003C/td\u003E\r\n     \u003C/tr\u003E\r\n\u003C/table\u003E\r\n\r\n* 新增了基于分布式训练框架的大语言模型训练示例。\r\n    * Megatron-DeepSpeed LLaMA2-7B\r\n\r\n### 问题修复\r\n\r\n- 修复了YOLOv5模型训练过程中数值类型报错问题。\r\n- 修复了ESRGAN，LIIF，TTSR模型配置文件路径问题。\r\n- 修复了YOLOv3模型安装脚本sudo报错问题。\r\n- 修复了SOLO模型依赖的yapf模块版本问题。\r\n- 修复了YOLOF模型mmcv版本兼容问题。\r\n- 改进了BERT系列模型对本地离线运行的支持。\r\n- 改进了MMDetection工具箱不同版本的安装流程。\r\n\r\n\r\n### 版本关联\r\n\r\nDeepSparkHub 23.12对应天数软件栈3.1.0版本。\r\n\r\n### 贡献者\r\n\r\n感谢以下人员做出的贡献：\r\n\r\nmajorli，songjian，may，jun.zhao，wz50525，gaiqin_bai，郝燕龙，巩亚飞，张文风，li.ding，Asltw，吴永乐，westnight，shengquan.nian，la。\r\n\r\n欢迎以任何形式为DeepSparkHub项目贡献。","author":{"name":"majorli6","username":"majorli6","path":"/majorli6","avatar_url":"https://foruda.gitee.com/avatar/1667877610594505300/11700637_majorli6_1667877610.png!avatar30"},"attach_files":[],"zip_download_url":"/deep-spark/deepsparkhub/releases/tag/23.12.zip","tar_download_url":"/deep-spark/deepsparkhub/releases/tag/23.12.tar.gz"}}}