This library provides implementations of various visual object tracking algorithms and video object segmentation methods using PyTorch. It includes trained models for multiple trackers (TaMOs, RTS, ToMP, KeepTrack, DiMP, ATOM) along with a complete training framework called LTR for learning tracking representations. The project offers evaluation tools, benchmark datasets, and model checkpoints for tracking research.