Aaron Han's repositories
ai-web-app
Django Artificial Intelligence Web App for Facial Expression Recognition (FER)
ARL
IEEE Transactions on Affective Computing "Facial Action Unit Detection Using Attention and Relation Learning"
awesome-visual-question-answering
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
awesome-vqa-latest
Visual Question Answering Paper List.
C-Plus-Plus
All Algorithms implemented in C++
Cpp-Primer
C++ Primer 5 answers
Cpp_Primer_Answers
《C++ Primer》第五版中文版习题答案
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Dress
好耶 是女装
EmotionDetection_RealTime
This is a Python 3 based project to display facial expressions by performing fast & accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library.
Face-recognition-for-classroom-sign-in
基于FaceNet的人脸检测+识别的课堂学生签到系统
Facial-Expression-Recognition
Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！（提前祝贺大家春节快乐，春运一路畅通！）
HFUT_Course_Report_Template
合肥工业大学课程设计 LaTeX 模板
JAANet
ECCV 2018 "Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment"
LaTeX-Template-Cn
\LaTeX 中文模版收集。
machine-learning-interview
算法工程师-机器学习面试题总结
python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
PyTorch-JAANet
PyTorch implementation of JAA-Net including both ECCV version and IJCV version
sam-textvqa
Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.
SiamFC-TensorFlow
A TensorFlow implementation of the SiamFC tracker
videoqa_dataset_visualization
Load and visualize different datasets in video question answering
weibo-analysis-system
毕业设计：微博用户情感分析系统Django+vue
Yolov5-Flask-VUE
基于Flask开发后端、VUE开发前端框架，在WEB端部署YOLOv5目标检测模型