基于Transformers的时间序列平稳性(Python完整源码和数据)

上传者: m0_57362105 | 上传时间: 2022-11-25 12:26:58 | 文件大小: 2.01MB | 文件类型: ZIP
基于Transformers的时间序列平稳性分析(Python完整源码和数据) 基于Transformers的时间序列平稳性分析(Python完整源码和数据) 基于Transformers的时间序列平稳性分析(Python完整源码和数据) Transformers 时间序列 数据分析

文件下载

资源详情

[{"title":"( 77 个子文件 2.01MB ) 基于Transformers的时间序列平稳性(Python完整源码和数据)","children":[{"title":"Nonstationary_Transformers-main","children":[{"title":"models","children":[{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"Transformer.py <span style='color:#111;'> 2.90KB </span>","children":null,"spread":false},{"title":"Autoformer.py <span style='color:#111;'> 4.25KB </span>","children":null,"spread":false},{"title":"Informer.py <span style='color:#111;'> 3.14KB </span>","children":null,"spread":false}],"spread":true},{"title":"figures","children":[{"title":"showcases.png <span style='color:#111;'> 286.89KB </span>","children":null,"spread":false},{"title":"main_results.png <span style='color:#111;'> 527.02KB </span>","children":null,"spread":false},{"title":"promotion2.png <span style='color:#111;'> 110.21KB </span>","children":null,"spread":false},{"title":"arch.png <span style='color:#111;'> 825.76KB </span>","children":null,"spread":false},{"title":"promotion.png <span style='color:#111;'> 302.53KB </span>","children":null,"spread":false}],"spread":true},{"title":"environment.yml <span style='color:#111;'> 184B </span>","children":null,"spread":false},{"title":"exp","children":[{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"exp_main.py <span style='color:#111;'> 13.27KB </span>","children":null,"spread":false},{"title":"exp_basic.py <span style='color:#111;'> 885B </span>","children":null,"spread":false}],"spread":true},{"title":"ns_layers","children":[{"title":"SelfAttention_Family.py <span style='color:#111;'> 6.53KB </span>","children":null,"spread":false},{"title":"Transformer_EncDec.py <span style='color:#111;'> 5.39KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"Autoformer_EncDec.py <span style='color:#111;'> 6.47KB </span>","children":null,"spread":false},{"title":"AutoCorrelation.py <span style='color:#111;'> 6.55KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"run.py <span style='color:#111;'> 8.34KB </span>","children":null,"spread":false},{"title":"layers","children":[{"title":"SelfAttention_Family.py <span style='color:#111;'> 5.85KB </span>","children":null,"spread":false},{"title":"Embed.py <span style='color:#111;'> 4.87KB </span>","children":null,"spread":false},{"title":"Transformer_EncDec.py <span style='color:#111;'> 4.47KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"Autoformer_EncDec.py <span style='color:#111;'> 6.02KB </span>","children":null,"spread":false},{"title":"AutoCorrelation.py <span style='color:#111;'> 6.22KB </span>","children":null,"spread":false}],"spread":true},{"title":"requirements.txt <span style='color:#111;'> 50B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"ns_models","children":[{"title":"ns_Autoformer.py <span style='color:#111;'> 6.50KB </span>","children":null,"spread":false},{"title":"ns_Transformer.py <span style='color:#111;'> 5.20KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"ns_Informer.py <span style='color:#111;'> 5.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 3.82KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"tools.py <span style='color:#111;'> 2.54KB </span>","children":null,"spread":false},{"title":"metrics.py <span style='color:#111;'> 866B </span>","children":null,"spread":false},{"title":"masking.py <span style='color:#111;'> 832B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"timefeatures.py <span style='color:#111;'> 3.66KB </span>","children":null,"spread":false}],"spread":true},{"title":"data_provider","children":[{"title":"data_loader.py <span style='color:#111;'> 14.30KB </span>","children":null,"spread":false},{"title":"data_factory.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 1B </span>","children":null,"spread":false}],"spread":false},{"title":"scripts","children":[{"title":"Traffic_script","children":[{"title":"ns_Informer.sh <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"ns_Transformer.sh <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false},{"title":"Informer.sh <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false},{"title":"Transformer.sh <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"Autoformer.sh <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"ns_Autoformer.sh <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false}],"spread":false},{"title":"ECL_script","children":[{"title":"ns_Informer.sh <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"ns_Transformer.sh <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"Informer.sh <span style='color:#111;'> 1.51KB </span>","children":null,"spread":false},{"title":"Transformer.sh <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"Autoformer.sh <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"ns_Autoformer.sh <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false}],"spread":false},{"title":"ETT_script","children":[{"title":"ns_Informer.sh <span style='color:#111;'> 1.65KB </span>","children":null,"spread":false},{"title":"ns_Transformer.sh <span style='color:#111;'> 1.66KB </span>","children":null,"spread":false},{"title":"Informer.sh <span style='color:#111;'> 1.40KB </span>","children":null,"spread":false},{"title":"Transformer.sh <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"Autoformer.sh <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"ns_Autoformer.sh <span style='color:#111;'> 1.65KB </span>","children":null,"spread":false}],"spread":false},{"title":"ILI_script","children":[{"title":"ns_Informer.sh <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"ns_Transformer.sh <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"Informer.sh <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"Transformer.sh <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"Autoformer.sh <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"ns_Autoformer.sh <span style='color:#111;'> 1.72KB </span>","children":null,"spread":false}],"spread":false},{"title":"Weather_script","children":[{"title":"ns_Informer.sh <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"ns_Transformer.sh <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"Informer.sh <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"Transformer.sh <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"Autoformer.sh <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"ns_Autoformer.sh <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false}],"spread":false},{"title":"Exchange_script","children":[{"title":"ns_Informer.sh <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"ns_Transformer.sh <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"Informer.sh <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"Transformer.sh <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"Autoformer.sh <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"ns_Autoformer.sh <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false}],"spread":false}],"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