Topic: emotion-detection Goto Github
Some thing interesting about emotion-detection
Some thing interesting about emotion-detection
emotion-detection,😎 Awesome lists about Speech Emotion Recognition
User: abikaki
emotion-detection,DEmoClassi stands for Demographic (age, gender, race) and Emotions (happy, sad, angry, ...) Classification from face images, using deep learning.
User: alkasaliss
Home Page: https://alkasaliss.github.io/DEmoClassi/
emotion-detection,An emotion extraction system for images, that extracts emotion which will be felt by the user of viewing the image, representing them in a 2-Dimensional space that represents Arousal and Valence.
User: amr4i
emotion-detection,Real-time Facial Emotion Detection using deep learning
User: atulapra
emotion-detection,Efficient face emotion recognition in photos and videos
User: av-savchenko
emotion-detection,Images and Videos, Real-time Facial Expession Recognition Application with Combine CNN , deep learning features extraction incorporate SIFT, FAST feature .
User: baticsute
emotion-detection,Response generation giving specific emotion.
User: chenyangh
emotion-detection,An emotion classifier of text containing technical content from the SE domain
Organization: collab-uniba
Home Page: http://collab.di.uniba.it/research
emotion-detection,Reading list for Awesome Sentiment Analysis papers
Organization: declare-lab
emotion-detection,Multimodal sentiment analysis using hierarchical fusion with context modeling
Organization: declare-lab
emotion-detection,MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
Organization: declare-lab
emotion-detection,Emotion detection on multiparty dialogue.
Organization: emorynlp
Home Page: http://nlp.mathcs.emory.edu
emotion-detection,Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
Organization: face-analysis
Home Page: https://www.nature.com/articles/s42256-020-00280-0
emotion-detection,SpanEmo
User: hasanhuz
emotion-detection,XED multilingual emotion datasets
Organization: helsinki-nlp
emotion-detection,Example projects built with the Hume AI APIs
Organization: humeai
emotion-detection,Emotion analyzer for Japanese text
User: ikegami-yukino
emotion-detection,An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
User: iliazenkov
emotion-detection,Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
User: iliazenkov
emotion-detection,Emotion detection using Keras and OpenCV with accuracy in validation 70% for dataset
User: juan-csv
emotion-detection,face recognition, detection of facial attributes (age, gender, emotion and race) for python.
User: juan-csv
emotion-detection,face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
User: juan-csv
emotion-detection,Facial Expression Recognition with a deep neural network as a PyPI package
User: justinshenk
emotion-detection,Automate detection of different emotions from paragraphs and predict overall emotion.
User: kanchitank
emotion-detection,Emotion detection on browser using TensorFlow.js
User: kevinisbest
emotion-detection,A real time Multimodal Emotion Recognition web app for text, sound and video inputs
User: maelfabien
emotion-detection,Emotion detection in audio utilising self-supervised representations trained with Contrastive Predictive Coding (CPC).
User: mchughes288
emotion-detection,🤓 Simple Emotion Detection Neural Network made with brain.js for an article on Hackdoor
User: micheleriva
Home Page: https://www.hackdoor.io/articles/WjpmYpPD/emotion-detection-with-javascript-neural-networks
emotion-detection,"Emotion-based-Music-Player" is a unique project designed to enhance music listening experiences. By analyzing user emotions, this player dynamically selects music tracks that match the user's mood. Through innovative algorithms, it tailors playlists to evoke desired emotional responses, offering a personalized journey through music.
User: mouneshgouda
Home Page: https://www.linkedin.com/in/mounesh-gouda-858069246/
emotion-detection,Large-Scale Selfie Video Dataset (L-SVD): A Benchmark for Emotion Recognition
User: peiranli0930
emotion-detection,ICPR 2020: Facial Expression Recognition using Residual Masking Network
User: phamquiluan
Home Page: https://ieeexplore.ieee.org/document/9411919
emotion-detection,Emotionally responsive Virtual Metahuman CV with Real-Time User Facial Emotion Detection (Unreal Engine 5).
User: prem-ium
emotion-detection,libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
User: richmondu
emotion-detection,The repo contains an audio emotion detection model, facial emotion detection model, and a model that combines both these models to predict emotions from a video
User: rishiswethan
emotion-detection,Group Emotion Recognition using deep neural networks and Bayesian classifiers.
User: samanyougarg
emotion-detection,An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
User: sanjaymarreddi
emotion-detection,Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.
User: sidmulajkar
emotion-detection,This is a Python 3 based project to display facial expressions by performing fast & accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library.
User: simplesaad
emotion-detection,Performing image classification for detection of various human emotions using CNN Architecture.
User: soumyajit4419
emotion-detection,Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.
User: susantabiswas
Home Page: https://susantabiswas.github.io/realtime-facial-emotion-analyzer/
emotion-detection, PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
User: tandon-a
emotion-detection,Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
User: uttaranb127
Home Page: https://gamma.umd.edu/step
emotion-detection,This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tensorflow.js have been used.
User: victor369basu
emotion-detection,FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS
User: vladmandic
Home Page: https://vladmandic.github.io/face-api/demo/webcam.html
emotion-detection,Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
User: vladmandic
Home Page: https://vladmandic.github.io/human/demo/index.html
emotion-detection,This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Organization: weblineindia
Home Page: https://www.weblineindia.com/software-development-resources.html
emotion-detection,🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简,极快,高效是我们的宗旨)
User: wiki2020
emotion-detection,Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
User: x4nth055
emotion-detection,[ICASSP 2023] FedAudio: A Federated Learning Benchmark for Audio and Speech Tasks
User: zhang-tuo-pdf
emotion-detection,Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
User: ztrimus
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.