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emotion-recognition

Real time emotion recognition

emotion-recognition-rnn

Recurrent Neural Networks for Emotion Recognition in Video

emotiw2018_group-level_emotion_recognition

Code for Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions

expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

exprgan

Facial Expression Editing with Controllable Expression Intensity

face-emotion-recognition-in-images-videos

facial emotion recognition with CNN and LSTM

face-recognition-using-siamese-networks

This project aims to perform reliable facial recognition using minimal training data. An example of few-shot learning, this algorithm is able to distinguish between faces by using a dataset having only 10 instances of each face. This project uses Siamese networks to compute the similarity between 2 facial images and classify them accordingly. The algorithm implemented can be easily extended to many real world use cases like signature verification, text similarity with only minimal data points.

facelib

Face Detection & Age Gender & Expression & Recognition

facial-expression-recognition-jaffe

An Implementation of a paper for facial expression recognition

facial-expression-recognition-svm

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

facial-expression-recognition-using-cnn

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

facial-expression-recognition-using-vggface

Facial Expression Recognition based on FER dataset. Using VGGface for transfer learning

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

ferattention

FERAtt: Facial Expression Recognition with Attention Net

fewshot_detection

Few-shot Object Detection via Feature Reweighting

fsl-global

Few-Shot Learning with Global Class Representations

geek_blog

一个基于SpringBoot+Mybatis(MybatisPlus)+SpringSecurity+Redis+ElasticSearch的个人博客系统，预览地址：

hexoblog

我的hexo个人博客源码，基于hexo-butterfly主题模板修改

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

javalearn

后端开发知识管理，思维导图

keras-vggface

VGGFace implementation with Keras Framework

learningtocompare_zsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

llae

Low-Rank Linear Autoencoder, LLAE, AAAI 2019, From Zero-Shot Learning to Cold-Start Recommendation

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

metric-learn

Metric learning algorithms in Python

micro_expression

In here, I publish my source code and research about Micro-expression analysis, especially on Spotting task (locating the position of Microexpression in long video)

micro_expression_pytorch

Using LSTM and CNN on CASME2 dataset

microexpnet

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images

microexpression