MMSA:CH-SIMS-源码
MMSA
多模态情感分析中代码的 Pytorch 实现。
注意：我们强烈建议您首先浏览我们代码的整体结构。 如果您有任何疑问，请随时与我们联系。
支持模型
在这个框架中，我们支持以下方法：
类型
型号名称
从
单任务
单任务
——
单任务
单任务
单任务
单任务
单任务
（无 CTC）
单任务
米萨
米萨
多任务
MLF_DNN
MMSA
多任务
MTFN
MMSA
多任务
MLMF
MMSA
多任务
自我_MM
自我MM
结果
详细结果见results/result-stat.md
用法
克隆代码
克隆这个 repo 并安装需求。
git clone https://github.com/thuiar/MMSA
cd MMSA
pip install -r requirements.txt
数据集和预训练的 berts
从以下链接下载数据集特征和
文件下载
资源详情
[{"title":"（ 61 个子文件 330KB ） MMSA:CH-SIMS-源码","children":[{"title":"MMSA-master","children":[{"title":"tasks.csv <span style='color:#111;'> 3.65KB </span>","children":null,"spread":false},{"title":"logs","children":[{"title":"tfn-mosi.log <span style='color:#111;'> 154.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"utils","children":[{"title":"metricsTop.py <span style='color:#111;'> 7.47KB </span>","children":null,"spread":false},{"title":"functions.py <span style='color:#111;'> 821B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"models","children":[{"title":"singleTask","children":[{"title":"MFN.py <span style='color:#111;'> 4.51KB </span>","children":null,"spread":false},{"title":"MISA.py <span style='color:#111;'> 12.39KB </span>","children":null,"spread":false},{"title":"EF_LSTM.py <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"LF_DNN.py <span style='color:#111;'> 2.32KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 466B </span>","children":null,"spread":false},{"title":"MULT.py <span style='color:#111;'> 6.57KB </span>","children":null,"spread":false},{"title":"TFN.py <span style='color:#111;'> 5.28KB </span>","children":null,"spread":false},{"title":"Graph_MFN.py <span style='color:#111;'> 12.16KB </span>","children":null,"spread":false},{"title":"LMF.py <span style='color:#111;'> 4.76KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"AMIO.py <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"subNets","children":[{"title":"BertTextEncoder.py <span style='color:#111;'> 2.41KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"FeatureNets.py <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"AlignNets.py <span style='color:#111;'> 4.69KB </span>","children":null,"spread":false},{"title":"transformers_encoder","children":[{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"multihead_attention.py <span style='color:#111;'> 6.06KB </span>","children":null,"spread":false},{"title":"transformer.py <span style='color:#111;'> 8.10KB </span>","children":null,"spread":false},{"title":"position_embedding.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"multiTask","children":[{"title":"MLF_DNN.py <span style='color:#111;'> 6.42KB </span>","children":null,"spread":false},{"title":"SELF_MM.py <span style='color:#111;'> 5.79KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 217B </span>","children":null,"spread":false},{"title":"MLMF.py <span style='color:#111;'> 8.99KB </span>","children":null,"spread":false},{"title":"MTFN.py <span style='color:#111;'> 9.60KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"results","children":[{"title":"result-stat.md <span style='color:#111;'> 4.47KB </span>","children":null,"spread":false}],"spread":true},{"title":"run.py <span style='color:#111;'> 11.02KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 229B </span>","children":null,"spread":false},{"title":"config","children":[{"title":"config_classification.py <span style='color:#111;'> 27.24KB </span>","children":null,"spread":false},{"title":"config_tune.py <span style='color:#111;'> 26.19KB </span>","children":null,"spread":false},{"title":"config_regression.py <span style='color:#111;'> 31.95KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"assets","children":[{"title":"Annotation-stat.pdf <span style='color:#111;'> 280.94KB </span>","children":null,"spread":false},{"title":"Annotations.png <span style='color:#111;'> 38.00KB </span>","children":null,"spread":false},{"title":"visualization","children":[{"title":"README.md <span style='color:#111;'> 307B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 5.42KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"TextPre.py <span style='color:#111;'> 8.30KB </span>","children":null,"spread":false},{"title":"DataPre.py <span style='color:#111;'> 10.55KB </span>","children":null,"spread":false},{"title":"load_data.py <span style='color:#111;'> 5.31KB </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 168B </span>","children":null,"spread":false},{"title":"trains","children":[{"title":"ATIO.py <span style='color:#111;'> 924B </span>","children":null,"spread":false},{"title":"singleTask","children":[{"title":"MFN.py <span style='color:#111;'> 4.52KB </span>","children":null,"spread":false},{"title":"MISA.py <span style='color:#111;'> 10.72KB </span>","children":null,"spread":false},{"title":"EF_LSTM.py <span style='color:#111;'> 4.53KB </span>","children":null,"spread":false},{"title":"LF_DNN.py <span style='color:#111;'> 4.53KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 466B </span>","children":null,"spread":false},{"title":"MULT.py <span style='color:#111;'> 5.13KB </span>","children":null,"spread":false},{"title":"TFN.py <span style='color:#111;'> 4.52KB </span>","children":null,"spread":false},{"title":"Graph_MFN.py <span style='color:#111;'> 4.53KB </span>","children":null,"spread":false},{"title":"LMF.py <span style='color:#111;'> 4.68KB </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"multiTask","children":[{"title":"MLF_DNN.py <span style='color:#111;'> 5.94KB </span>","children":null,"spread":false},{"title":"SELF_MM.py <span style='color:#111;'> 14.08KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 217B </span>","children":null,"spread":false},{"title":"MLMF.py <span style='color:#111;'> 6.12KB </span>","children":null,"spread":false},{"title":"MTFN.py <span style='color:#111;'> 5.98KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false}],"spread":true}]
评论信息
其他资源
- 潘赟九宫格作文.pdf
- matlab 地统计工具箱 SEKSGUI0.65.rar
- 云南大学数据结构所有实验（附代码）张德海
- 数据库课程设计 学生作业管理系统
- 2018-2019学年东北大学数据结构实验报告及代码.zip
- Matlab处理shp文件的程序
- C++面向对象高级编程代码资源（侯捷）
- PCIE 1X 36P 封装
- 数据结构（用面向对象的方法与C++语言描述）殷人昆（第2版） 教师PPT+课后习题解答
- Packet Tracer实验集（中文版）
- PRBS信号进行QPSK调制；画出星座图；加入噪声后计算误码率
- 嵌入式实时操作系统μCOS-Ⅱ经典实例——基于STM32处理器pdf和光盘源码
- php-hash图感知相似度集合.zip
- 计及牵引负荷的电力系统概率潮流
- 连接MS SQLSERVER 的驱动jar包sqljdbc4-3.0.zip
- 伺服系统设计指导.pdf
- 89C51双机通信的Proteus仿真及C语言收发程序
- ASP.NET Ueditor图片水印（修改）
- opencv 书籍
- 从XPS文件中获取文字或图片
- cleanmaster
- 基于VxWorks的嵌入式系统及实验.pdf
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
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