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algorithm_for_interview-chinese

Algorithm for Interview（面试算法笔记-中文）

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

aus_detection_baseline

Facial Action Units detection with the dataset BP4D

awesome-fer

🔆 Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 💫 ✨

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

dlib

A toolkit for making real world machine learning and data analysis applications in C++

do-neural-networks-learn-faus-iccvw-2015

Experiment files for the paper "Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?", available here: http://arxiv.org/abs/1510.02969

drml_pytorch

Implementation of Deep Region and Multi-Label Learning for Facial Action Unit Detection.

face-detector-1mb-with-landmark

1M人脸检测模型(含关键点)

face-landmark-localization

cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).

face-mesh-generator

Generate face mesh dataset using Google's FaceMesh model.

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

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

fer

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

g-meta

Graph meta learning via local subgraphs (NeurIPS 2020)

imhuay-algorithm_interview_notes-chinese

insightface

Face Analysis Project on MXNet

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

mlcr

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019)

new-pac

科学上网/自由上网/翻墙/软件/方法，一键翻墙浏览器，免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点分享，vps一键搭建脚本/教程

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

real-time-facial-expression-recognition

A Deep Learning Case Study to detect one of the Seven Human Facial Expressions in Still Images and in Real Time. This model is also trained enough to Detect Facial Expressions of Animated Images.

repvgg

RepVGG: Making VGG-style ConvNets Great Again

video_object_detection_paper

update some video object detection papers (视频目标检测论文和代码整理)