lixin2002cn

lixin2002cn's Stars

• rugvedmhatre/Multimodal-Sentiment-Analysis

  This project aims to develop a robust multi-modal sentiment analysis system that integrates visual cues from images with textual data to provide a more comprehensive understanding of human emotions.

  Language:Jupyter Notebook33

• yyh-rain-song/ReMamber

  ECCV24 "ReMamber: Referring Image Segmentation with Mamba Twister" official repository.

  Language:Jupyter Notebook22

• leson502/CORECT_EMNLP2023

  [EMNLP2023] Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction

  Language:Python5110

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  6.1k853

• tangjyan/zh-cn

  中文版学术主页

  Language:SCSS110154

• caozhong14/cross-modal

  42

• Justin1904/Low-rank-Multimodal-Fusion

  This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018

  Language:Python25647

• Justin1904/TensorFusionNetworks

  Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.

  Language:Python17744

• thuiar/Self-MM

  Codes for paper "Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis"

  Language:Python19337

• WasifurRahman/BERT_multimodal_transformer

  Language:Python19730

• ys-zong/awesome-self-supervised-multimodal-learning

  [T-PAMI] A curated list of self-supervised multimodal learning resources.

  2317

• vvnzhang/TensorFusionNetwork-CMU_MOSI

  Implement TFN on CMU-MOSI.

  Language:Python3

• Jie-Xie/CMU-MultimodalDataSDK

  MultimodalSDK provides tools to easily apply machine learning algorithms on well-known affective computing datasets such as CMU-MOSI, CMU-MOSI2, POM, and ICT-MMMO.

  Language:Python10180

• pakoromilas/MultimodalSDK_loader

  Data parser for the CMU-MultimodalSDK package including parsing for CMU-MOSEI, CMU-MOSI, and POM datasets

  Language:Python293

• Ighina/MultiModalSA

  MultiModal Sentiment Analysis architectures for CMU-MOSEI.

  Language:Python408

• pliang279/MFN

  [AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning

  Language:Python11330

• Vincent-ZHQ/DMER

  A survey of deep multimodal emotion recognition.

  524

• liyunfan1223/multimodal-sentiment-analysis

  该仓库存放了多模态情感分析实验的配套代码。

  Language:Jupyter Notebook382

• declare-lab/conv-emotion

  This repo contains implementation of different architectures for emotion recognition in conversations.

  Language:Python1.4k335

• kyegomez/MultiModalMamba

  A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

  Language:Python44024

• declare-lab/multimodal-deep-learning

  This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

  Language:OpenEdge ABL770156

• zehuiwu/MMML

  Multi-Modality Multi-Loss Fusion Network

  Language:Python719

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java103k13k

• thuiar/AWESOME-MSA

  Paper List for Multimodal Sentiment Analysis

  9820

• thuiar/MMSA

  MMSA is a unified framework for Multimodal Sentiment Analysis.

  Language:Python712110

• duliaojason/Multimodal-emotion-classification

  An experiment multimodal-emotion-classification

  Language:Python3

• declare-lab/MELD

  MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

  Language:Python841205

• Robin-WZQ/multimodal-emotion-recognition-DEMO

  A demo for multi-modal emotion recognition.(多模态情感识别demo)

  Language:Python825

• Tengfei000/MPED

  MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion

  347

• Samarth-Tripathi/IEMOCAP-Emotion-Detection

  Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.

  Language:Jupyter Notebook16274