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The PyTorch code for paper: "CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition."
Experiments with supervised contrastive learning methods with different loss functions
This repo contains implementation of different architectures for emotion recognition in conversations.
Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
Matlab implementation of computer vision algorithms
CVPR 2022 论文和开源项目合集
Pytorch code for ACL-IJCNLP accepted paper "Directed Acyclic Graph Network for Conversational Emotion Recognition"
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.
A set of audio augmentation techniques to perform noise insertion in datasets used for Automatic Speech Recognition.
A PyTorch implementation of the Deep Audio-Visual Speech Recognition paper.
Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing
Code and models for evaluating a state-of-the-art lip reading network
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}
Code for paper: BoostAI: Boosting AI Algorithms to Predict Depression with High Accuracy
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Detecting depression in a conversation using Convolutional Neral Network
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.
Conventionally depression detection was done through extensive clinical interviews,
Self-supervised learning project: audio feature analysis for depression detection.
Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation
The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cybernetics".
Response generation giving specific emotion.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.