Stars
Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals
a minimal, beginner-friendly VLA to show how robot policies can fuse images, text, and states to generate actions
This repository contains demos I made with the Transformers library by HuggingFace.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
[ICCV 2025] SuperDec: 3D Scene Decomposition with Superquadric Primitives.
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives