yumingh97 Goto Github PK

afartoolbox

AFAR: A Deep Learning Based Toolbox for Automated Facial Affect Recognition

au_r-cnn

forked official implementation code of paper: "AU R-CNN：Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection"

aunets

Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)

csci571

csci571 spring 2020

detr

End-to-End Object Detection with Transformers

eeg_emotion_classifier_deap

EEG Emotion classification using the DEAP pre-processed data

emotiw-2018

EmotiW 2018

emotiw2018

fab-net

Pytorch code for BMVC 2018 paper

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

ferplus

This is the FER+ new label annotations for the Emotion FER dataset.

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

google-research

Google Research

jaanet

ECCV 2018 "Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment"

learnr

Exploratory, Inferential and Predictive data analysis. Feel free to show your :heart: by giving a star :star:

mcncrossmodalemotions

Supporting code for "Emotion Recognition in Speech using Cross-Modal Transfer in the Wild"

notebooks

Notebooks using the Hugging Face libraries 🤗

numpy-ml

Machine learning, in numpy

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

realistic-neural-talking-head-models

My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

spanbert

Code for using and evaluating SpanBERT.

speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

tcae

Self-supervised Representation Learning from Videos for Facial Action Unit Detection

video-face-extractor

visual-reasoning-explanation

[CVPR 2021] A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts