The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

A high performance implementation of HDBSCAN clustering.

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics