latent-gaussian-process-priors:论文“具有潜在高斯过程先验的Raven渐进矩阵完成”的代码-源码

上传者: 42104181 | 上传时间: 2021-03-22 14:06:56 | 文件大小: 33KB | 文件类型: ZIP
具有潜在高斯过程先验(LGPP)的Raven渐进矩阵完成 这是论文“具有潜在高斯过程先验的Raven渐进矩阵完成”的代码。 依存关系 PyTorch == 1.4 pyyaml == 5.3 枕头== 7.0.0 numpy的= = 1.18.1 六个== 1.14.0 Python版本3.7.6 数据集 构建面和圆数据集: ./build_datasets.sh 训练 特定数据集的训练模型(例如,具有5000个训练样本的三角形实例化多边形数据集) python train.py --exp_name triangle_5000 --gpu 0 --dataset triangle_5000 参数--exp_name是您的自定义实验的名称和--dataset是在训练阶段中使用的数据集。 实验 用MSE分数估算模型 python test.py --exp_name trian

文件下载

资源详情

[{"title":"( 29 个子文件 33KB ) latent-gaussian-process-priors:论文“具有潜在高斯过程先验的Raven渐进矩阵完成”的代码-源码","children":[{"title":"latent-gaussian-process-priors-main","children":[{"title":"cache","children":[{"title":".gitkeep <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"readme.md <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"model","children":[{"title":"axisVAE.py <span style='color:#111;'> 3.84KB </span>","children":null,"spread":false},{"title":"building_block.py <span style='color:#111;'> 3.73KB </span>","children":null,"spread":false},{"title":"mainNet.py <span style='color:#111;'> 7.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"test.py <span style='color:#111;'> 3.52KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 3.01KB </span>","children":null,"spread":false},{"title":"exp","children":[{"title":".gitkeep <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"build_datasets.sh <span style='color:#111;'> 395B </span>","children":null,"spread":false},{"title":"dataset","children":[{"title":"create_complex_circle.py <span style='color:#111;'> 5.36KB </span>","children":null,"spread":false},{"title":"SAP_score.py <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 6.48KB </span>","children":null,"spread":false},{"title":"create_position_circle.py <span style='color:#111;'> 5.32KB </span>","children":null,"spread":false},{"title":"create_circle.py <span style='color:#111;'> 5.03KB </span>","children":null,"spread":false},{"title":"get_drawer.py <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"create_polygon.py <span style='color:#111;'> 5.74KB </span>","children":null,"spread":false},{"title":"PolyMR.py <span style='color:#111;'> 2.32KB </span>","children":null,"spread":false},{"title":"factorVAE_score.py <span style='color:#111;'> 3.71KB </span>","children":null,"spread":false},{"title":"create_position_polygon.py <span style='color:#111;'> 6.18KB </span>","children":null,"spread":false},{"title":"create_complex_polygon.py <span style='color:#111;'> 6.13KB </span>","children":null,"spread":false}],"spread":false},{"title":"saves","children":[{"title":".gitkeep <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"evaluate.py <span style='color:#111;'> 2.82KB </span>","children":null,"spread":false},{"title":"tmp","children":[{"title":".gitkeep <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"configs","children":[{"title":"main.yaml <span style='color:#111;'> 204B </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 103B </span>","children":null,"spread":false},{"title":"lib","children":[{"title":"utils.py <span style='color:#111;'> 2.80KB </span>","children":null,"spread":false},{"title":"dist.py <span style='color:#111;'> 3.41KB </span>","children":null,"spread":false},{"title":"GP.py <span style='color:#111;'> 13.08KB </span>","children":null,"spread":false}],"spread":true},{"title":"config.py <span style='color:#111;'> 1024B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明