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Yunlong Liu's Projects

awesome-vscode icon awesome-vscode

🎨 A curated list of delightful VS Code packages and resources.

chatgpt icon chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

elsdc icon elsdc

Ellipse and Line Segment Detector, with Continuous validation

freecad icon freecad

This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.

geometrictools icon geometrictools

A collection of source code for computing in the fields of mathematics, geometry, graphics, image analysis and physics.

googletest icon googletest

Googletest - Google Testing and Mocking Framework

handeye_calib_camodocal icon handeye_calib_camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

hexi icon hexi

A generic motion simulator.

lantern icon lantern

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور، امن، قابل اعتماد و پرسرعت

leptonica icon leptonica

Leptonica is an open source library containing software that is broadly useful for image processing and image analysis applications. The official github repository for Leptonica is: danbloomberg/leptonica. See leptonica.org for more documentation and recent releases.

mlpack icon mlpack

mlpack: a scalable C++ machine learning library --

pcl icon pcl

Point Cloud Library (PCL)

r-source icon r-source

Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

rtk icon rtk

Reconstruction Toolkit

tesseract icon tesseract

Tesseract Open Source OCR Engine (main repository)

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

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