Stars
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
Simulation platform for general-purpose robotics & embodied AI learning.
[ICCV 2023] Understanding 3D Object Interaction from a Single Image
A Scalable and Hardware-Independent Universal Manipulation Interface
[ECCV 2022, Oral] OPD: Single-view 3D Openable Part Detection
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
cvg / Mask3D
Forked from JonasSchult/Mask3DMask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"
Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields
llama3 implementation one matrix multiplication at a time
[CVPR 2024] Physical Property Understanding from Language-Embedded Feature Fields
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
AutonoBot-Lab's Logo includes JPG, PNG, SVG
Where2Act: From Pixels to Actions for Articulated 3D Objects
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Mesh Reconstruction for Terrain Mapping
Travel Salesman Problem using Branch and Bound Algorithm, from IF2211: Algorithmic Strategy
Python implementation of Travelling Salesman Problem (TSP) using branch-and-bound algorithm.