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A pytorch port of google-research/google-research/robust_loss/
ROS 2 interface and imitation learning pipeline for the Tidybot++ mobile manipulator
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A Python implementation of global optimization with gaussian processes.
GPT powered sorting using structured output
[T-RO 2025] Code for Let's Make a Splan: Risk-Aware Trajectory Optimization in a Normalized Gaussian Splat
TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning
[IROS 2025] OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework
Robust controller interface to Kinova-gen3
This tool helps you recover deleted files within your VSCode History.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
[NeurIPS 2024 Spotlight] Implementation of the paper "3D Gaussian Splatting as Markov Chain Monte Carlo"
[RSS 2024] Code for Safe Planning for Articulated Robots Using Reachability-based Obstacle Avoidance With Spheres
O(1) Algorithm to check if number is prime that works in 95%+ cases.
Robot Java Code for 2023 FRC Season
[RA-L 2023 Best Paper] Official Code Release for LONER: LiDAR Only Neural Representations for Real-Time SLAM
Semantic ELevation (SEL) map is a semantic Bayesian inferencing framework for real-time elevation mapping and terrain property estimation from RGB-D images.
A python class that calculates chamfer distance between point clouds using tensorflow
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization