Starred repositories
Atom01_mechnic (incluing sw design files & dwg for cnc & rhino id)
Open-source navigation stack for ZsiBot robots. Enables intelligent SLAM, path planning and autonomous movement. Free community version (Lite). Contributions welcome!
Third-party packages required to build Pioneer
A Java 8+ Jar & Android APK Reverse Engineering Suite (Decompiler, Editor, Debugger & More)
A Modbus library for Linux, Mac OS, FreeBSD and Windows
aider is AI pair programming in your terminal
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
21 Lessons, Get Started Building with Generative AI
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
Code for PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation
[AAAI 2025 Oral🚁] Game4Loc: A UAV Geo-Localization Benchmark from Game Data
Point-LIO algorithm for Unitree LiDAR products.
No fortress, purely open ground. OpenManus is Coming.
An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS,…
Python package for the evaluation of odometry and SLAM
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
Simple, unified interface to multiple Generative AI providers
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Visual-Inertial Odometry using KITTI, ORB-SLAM2 and Learning to Fuse: A Deep Learning Approach to Visual-Inertial Camera Pose Estimation.
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
Monocular Visual-Inertial State Estimator on Mobile Phones
Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.