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

Real-time Facial Emotion Detection using deep learning

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

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

FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

🔥🔥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)

Efficient face emotion recognition in photos and videos

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Reading list for Awesome Sentiment Analysis papers

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.

ICPR 2020: Facial Expression Recognition using Residual Masking Network

Large-Scale Selfie Video Dataset (L-SVD): A Benchmark for Emotion Recognition

Facial Expression Recognition with a deep neural network as a PyPI package

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"

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

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

face recognition, detection of facial attributes (age, gender, emotion and race) for python.

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

Emotion analyzer for Japanese text

Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.