back to home
sparolab / KISS-IMU
KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference. @ ICRA'26 Award Finalist
View on GitHub60 stars
2 forks
0 issues
Python
AI Architecture Analysis
This repository is indexed by RepoMind. By analyzing sparolab/KISS-IMU in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Source files are only loaded when you start an analysis to optimize performance.