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cogmen

compact_ser

consk-gcn

The PyTorch code for paper: "CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition."

contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

conv-emotion

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

conv-gcn

Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit

cvae

cvision

Matlab implementation of computer vision algorithms

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

dag-erc

Pytorch code for ACL-IJCNLP accepted paper "Directed Acyclic Graph Network for Conversational Emotion Recognition"

dagnn

A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.

daic_woz_data_preprocessing

daic_woz_process

data_augmentation_for_asr

A set of audio augmentation techniques to perform noise insertion in datasets used for Automatic Speech Recognition.

deep_avsr

A PyTorch implementation of the Deep Audio-Visual Speech Recognition paper.

deep_learning_fmri_eeg

Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing

deep_lip_reading

Code and models for evaluating a state-of-the-art lip reading network

deltanet

depaudionet_reproduction

Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.org/doi/10.1145/2988257.2988267), AVEC 2016}

depressed-mood-detection

Code for paper: BoostAI: Boosting AI Algorithms to Predict Depression with High Accuracy

depression-detect

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

depression-detection

depression-detection-in-speech

Detecting depression in a conversation using Convolutional Neral Network

depression-detection-lt-edi-2022

This repository contains the code of our winning solution for the Shared Task on Detecting Signs of Depression from Social Media Text at LT-EDI-ACL2022.

depression-detection-on-text-and-audio-data

depression-detection-through-multi-modal-data

Conventionally depression detection was done through extensive clinical interviews,

depression_detection

Self-supervised learning project: audio feature analysis for depression detection.

depressionestimation

Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation

dgcn

The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cybernetics".

dialoguegenerationwithemotion

Response generation giving specific emotion.