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Code for "MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training", Arxiv 2025.
Real-time SLAM with deep features (XFeat + ORB-SLAM3)
A generative world for general-purpose robotics & embodied AI learning.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
An actuator space optimal kinematic path tracking framework for tendon-driven continuum robots: Theory, algorithm and validation
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
Efficient neural feature detector and descriptor
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
Source code of paper "NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer"
Navigation agent with Bayesian relational memory in the House3D environment
[arXiv'24 & TMI'25] EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Use ORB-SLAM2 to build a metricmap and localization, fcaf3d to detect 3D objects, and build a tracker database to manage the objects detected.
✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。