Unified framework for robot learning built on NVIDIA Isaac Sim

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

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 Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot