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2017final

aff-wild-models

arbitrary-text-to-image-papers

A collection of arbitrary text to image papers with code (constantly updating)

bootstrap-fileinput

An enhanced HTML 5 file input for Bootstrap 3.x with file preview, multiple selection, and more features.

bysj

covpoolfer

Covariance Pooling for Facial Expression Recognition

deeprec

Deeprec is a portable, flexible and comprehensive library including a variety of state-of-the-art deep learning based recommendation models.

detr

End-to-End Object Detection with Transformers

drgd-lcsts

code for "Deep Recurrent Generative Decoder for Abstractive Text Summarization"

emotic

Code repo for the EMOTIC dataset

emotic-1

PyTorch implementation of the Emotic CNN Model

emotic-2

Python与深度学习第二次大作业

emotic-3

emotion-classification-ravdess

Understanding emotions with Neural Networks (Python, Scikit-Learn, Keras) and the Ravdess dataset: 95% accuracy on the training set and 92% on the test set.

emotion_classification_ravdess

Real-time face detection and emotion classification using Ravdess dataset. Tensorflow, Keras, OpenCV.

emotionrecognitionbarros

erframework

faceemotion_id

Detects Face using Haarcascades and further detects emotion in bounded face (trained a CNN emotion detector model)

facial-expression-recognition

FER using CNN

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

gitdemo

graph

hardwaretest

hdmapnet

hfusion

Multimodal sentiment analysis using hierarchical fusion with context modeling

inspiring-online

An open source blog, for inspiring and creative online work! Join in!

itrip

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

motionemotion

emotion & gesture-based arpeggiator and synthesizer

multimodal-emotion-recognition

This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.