asphelzhn,Harling,github

2018-java-interview

经历BATJ面试后总结的【高级Java后台开发面试指南】，纯净干货无废话，针对高频面试点

activitynet-2016-cvprw

Tools to participate in the ActivityNet Challenge 2016

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

aoapc-bac2nd

Source codes for book <<<BeginningAlgorithmContests>> Second edition

attentiveness-monitoring-system

AMS(Attentiveness Monitoring System) Monitoring attentiveness of the audience is a difficult task for the human evaluators, therefore; our proposed model will detect an individual person through the camera in run-time, will implement BodyPosture Detection, Head Pose Estimation, and Facial Expressions Recognition to finally determine how attentive that particular individual was throughout the session. This model will assist the human evaluator and will be implemented using the concepts of Artificial Intelligence and Machine Learning. This proposed system can be implemented in future to cope up with the pandemic situation that we are facing these days as its difficult for teachers to monitor attentiveness of whole class thus, this system can assist the teacher on measuring how attentive are the students of the class by measuring attentiveness of individual student and then giving collective result.