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awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

awesome-python-login-model

😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟

bigscreen

呼叫中心

corddemo

cord项目

crawlab

Distributed web crawler admin platform for spiders management regardless of languages and frameworks. 分布式爬虫管理平台，支持任何语言和框架

distribute_crawler

使用scrapy,redis, mongodb,graphite实现的一个分布式网络爬虫,底层存储mongodb集群,分布式使用redis实现,爬虫状态显示使用graphite实现

dottask

Simple and easy go task framework, support loop & cron & queue

dupimagedetection

海量图片去重算法-局部分块Hash算法

ecommercecrawlers

实战🐍多种网站、电商数据爬虫🕷。包含🕸：淘宝商品、微信公众号、大众点评、企查查、招聘网站、闲鱼、阿里任务、博客园、微博、百度贴吧、豆瓣电影、包图网、全景网、豆瓣音乐、某省药监局、搜狐新闻、机器学习文本采集、fofa资产采集、汽车之家、国家统计局、百度关键词收录数、蜘蛛泛目录、今日头条、豆瓣影评、携程、小米应用商店、安居客、途家民宿❤️❤️❤️。微信爬虫展示项目:

frontpage

稀蜴网页

hello-world

object-detection

This is a real-time object detection web app in flask using yolo algorithm. It has functionalities to increase/decrease the exposure and contrast to make it easy for the model to work. You can even switch on/off the model.

object-detection-webapp

Object Detection WebApp, based on the Yolov7 algorithm and built on Flask light web framework, this project can be used for surveillance of any video and inform through Email in case something off is detected

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

php-styliing

PHP 项目规范

pix-dict-api

API do DICT - Diretório de Identificadores de Contas Transacionais

python-crawler-tutorial-starts-from-zero

python爬虫教程，带你从零到一，包含js逆向，selenium, tesseract OCR识别,mongodb的使用，以及scrapy框架

pytorch-captcha

使用pytorch搭建cnn识别验证码

pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

sheetjs

:green_book: SheetJS Community Edition -- Spreadsheet Data Toolkit

text-generation-webui

A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

wechat-pc-hook-api

微信 pc hook

workstation

vagrant + docker

yolo-model-run-with-flask-on-web

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors