keaidehuihui
Student of East China University of Science and Technology
East China University of Science and Technology
Pinned Repositories
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
Algorithms
The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.
awesome-action-recognition
A curated list of action recognition and related area resources
cpp_backend_document
2022年，最新整理c++后端资料，含视频，文档资料，开源项目，面经，面试题，15位分享经验
flash-reflection-removal
Code for CVPR2021 paper "Robust Reflection Removal with Reflection-free Flash-only Cues"
ics_2021
interview_internal_reference
2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Waking-Up
计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试:rocket:；可用于模拟面试、面试前复习、短期内快速备战面试...
WSL2-config
Yet-Another-Openpose-Implementation
This project reimplements from scratch the OpenPose paper (Cao et al,2018), Using Tensorflow 2.1 and optional TPU powered training.
keaidehuihui's Repositories
keaidehuihui/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
keaidehuihui/Algorithms
The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.
keaidehuihui/awesome-action-recognition
A curated list of action recognition and related area resources
keaidehuihui/cpp_backend_document
2022年，最新整理c++后端资料，含视频，文档资料，开源项目，面经，面试题，15位分享经验
keaidehuihui/flash-reflection-removal
Code for CVPR2021 paper "Robust Reflection Removal with Reflection-free Flash-only Cues"
keaidehuihui/ics_2021
keaidehuihui/interview_internal_reference
2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
keaidehuihui/Waking-Up
计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试:rocket:；可用于模拟面试、面试前复习、短期内快速备战面试...
keaidehuihui/WSL2-config
keaidehuihui/Yet-Another-Openpose-Implementation
This project reimplements from scratch the OpenPose paper (Cao et al,2018), Using Tensorflow 2.1 and optional TPU powered training.