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3d-convolutional-recurrent-neural-networks-with-attention-model-for-speech-emotion-recognition

speech emotion recognition using a convolutional recurrent networks based on IEMOCAP

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

attentive-modality-hopping-for-ser

TensorFlow implementation of "Attentive Modality Hopping for Speech Emotion Recognition," ICASSP-20

avec2018

Baseline scripts of the 8th Audio/Visual Emotion Challenge (AVEC 2018)

avec2019

Baseline scripts for the Audio/Visual Emotion Challenge 2019

awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

bert

TensorFlow code and pre-trained models for BERT

bert_multimodal_transformer

bidirectional-lstm-network-for-speech-emotion-recognition

Bidirectional LSTM network for speech emotion recognition.

cascade

This repo contains code to detect sarcasm from text in discussion forum using deep learning

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

contextual-utterance-level-multimodal-sentiment-analysis

Context-Dependent Sentiment Analysis in User-Generated Videos

contrastive-regularization-mmer

conv-emotion

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

ctc-for-emotion-recognition

CTC for emotion recognition

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

distillgcn.pytorch

Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20

emotion-recognition-from-speech

A machine learning application for emotion recognition from speech

hfusion

Multimodal sentiment analysis using hierarchical fusion with context modeling

hgcc

Capturing High-level Semantic Correlations via Graph for Multimodal Sentiment Analysis

hithesis

哈尔滨工业大学毕业论文LaTeX模板

interaction-aware_attention_network

An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs

meld

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

mfn

Code for Memory Fusion Network, AAAI 2018

msaf

Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"

multimodal-fusion

Attention-based multimodal fusion for sentiment analysis