nianxing

nianxing's Stars

• LC044/WeChatMsg

  提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

  Language:Python32.8k1703993.4k

• facert/awesome-spider

  爬虫集合

  22.2k826474.8k

• Jack-Cherish/python-spider

  :rainbow:Python3网络爬虫实战：淘宝、京东、网易云、B站、12306、抖音、笔趣阁、漫画小说下载、音乐电影下载等

  Language:Python18k635815.9k

• binux/pyspider

  A Powerful Spider(Web Crawler) System in Python.

  Language:Python16.5k8968243.7k

• shengqiangzhang/examples-of-web-crawlers

  一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、微信读书、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

  Language:Python13.8k3491133.8k

• smicallef/spiderfoot

  SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.

  Language:Python12.6k3655892.2k

• THU-MIG/yolov10

  YOLOv10: Real-Time End-to-End Object Detection

  Language:Python9.2k48376849

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9k8336826

• rerun-io/rerun

  Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.

  Language:Rust6.2k602.9k287

• chyroc/WechatSogou

  基于搜狗微信搜索的微信公众号爬虫接口

  Language:Python5.9k2761891.7k

• DropsDevopsOrg/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:

  Language:Python4.7k144371.3k

• MarkFzp/mobile-aloha

  Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

  Language:Jupyter Notebook3.8k7216655

• JakobEngel/dso

  Direct Sparse Odometry

  Language:C++2.3k119232906

• Ewenwan/ORB_SLAM2_SSD_Semantic

  动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

  Language:C++1.4k3932427

• OpenDriveLab/Birds-eye-view-Perception

  [IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

  Language:Python1.2k341898

• buckyroberts/Spider

  Python website crawler.

  Language:Python96611343671

• open-mmlab/mmflow

  OpenMMLab optical flow toolbox and benchmark

  Language:Python949771114

• siyuanliii/masa

  Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything

  Language:Python939602260

• gaoxiang12/ORBSLAM2_with_pointcloud_map

  Language:C++8412351346

• OpenDriveLab/OccNet

  [ICCV 2023] OccNet: Scene as Occupancy

  Language:Python550174549

• kyegomez/RT-2

  Democratization of RT-2 "RT-2: New model translates vision and language into action"

  Language:Python34472247

• MichaelBeechan/VO-SLAM-Review

  SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects

  2228053

• Improbable-AI/dexenv

  Code for Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes (Science Robotics)

  Language:Python77517

• seattlegirl/OpticalFlow

  python实现几个opencv中的光流法函数

  Language:Python751122

• nacayu/awesome-deeplearning-based-radar-perception

  It mainly includes radar-related multi-mode detection, segmentation, tracking, freespace space detection papers, datasets, projects, related docs

  63108

• ShuoYangRobotics/Multi-IMU-Proprioceptive-Odometry

  Language:MATLAB52212

• fyhMer/fowm

  Finetuning Offline World Models in the Real World

  Language:Python40202

• TusharAMD/Runn

  Language:Python20236125

• Liwu-di/PaperCrawlerUtil

  一套工具组，包括访问链接， 获取元素，抽取文件等等 也有已经实现好通过scihub获取论文的小工具，还有对于pdf转doc，文本翻译,代理连接获取以及通过api获取代理链接， PDF文件合并，PDF文件截取某些页，CSV，xls文件处理等

  Language:JavaScript15317

• liat-s/radar_occupancy_grid

  code for the paper: "Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation"

  442