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Guangdong University of Technology
- Guangzhou
- www.codingbo.tech
Starred repositories
python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,…
📌✨A curated list of awesome Shopify resources, libraries and open source projects.
Proxy是高性能全功能的http代理、https代理、socks5代理、内网穿透、内网穿透p2p、内网穿透代理、内网穿透反向代理、内网穿透服务器、Websocket代理、TCP代理、UDP代理、DNS代理、DNS加密代理,代理API认证,全能跨平台代理服务器。
🎉 A curated list of awesome things related to Vue.js
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
Spring Boot Reference Guide中文翻译 -《Spring Boot参考指南》
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.
本程序旨在为安全应急响应人员对Linux主机排查时提供便利,实现主机侧Checklist的自动全面化检测,根据检测结果自动数据聚合,进行黑客攻击路径溯源。
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019
Collection of awesome resources on image-to-image translation.
awesome image and video denoising, state of the art networks
[ECCV 2020] Defocus Blur Detection via Depth Distillation
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)
[ECCV2020] Knowledge Distillation Meets Self-Supervision
Code for the paper 'Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search'. Accepted in ECCV2020 (Spotlight). Preprint: https://arxiv.org/abs/2006.…
《Spring Boot基础教程》,2.x版本持续连载中!点击下方链接直达教程目录!
Deformable Style Transfer (ECCV 2020)
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
[ECCV 2020] Learning Where to Focus for Efficient Video Object Detection