allenzren's Stars
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
shapely/shapely
Manipulation and analysis of geometric objects
mikedh/trimesh
Python library for loading and using triangular meshes.
astooke/rlpyt
Reinforcement Learning in PyTorch
NxRLab/ModernRobotics
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
jasonlong/geo_pattern
Create beautiful generative geometric background images from a string.
utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
marian42/mesh_to_sdf
Calculate signed distance fields for arbitrary meshes
andyzeng/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
tristandeleu/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
hjwdzh/Manifold
Convert any Triangle Mesh to Watertight Manifold
marian42/shapegan
Generative Adversarial Networks and Autoencoders for 3D Shapes
eric-wieser/ros_numpy
Tools for converting ROS messages to and from numpy arrays
microsoft/Azure_Kinect_ROS_Driver
A ROS sensor driver for the Azure Kinect Developer Kit.
bryanveloso/geopatterns
A Python-port of @jasonlong's lovely SVG generation library.
3D-FRONT-FUTURE/3D-FRONT-ToolBox
osqp/osqpth
The differentiable OSQP solver layer for PyTorch
vicariousinc/science_cognitive_programs
Implementation of concept induction for Science Robotics paper
irom-lab/pybullet-panda
Custom Franka Panda environment in PyBullet
jhavl/ropy
A robotics library for Python
irom-lab/PAC-Bayes-Control
Code for the PAC-Bayes Control paper.
irom-lab/Invariant-Policy-Optimization
Code for Invariant Policy Optimization
kuanfang/procedural-objects
Procedural object generation for robotic manipulation
irom-lab/DRAGEN
Distributionally Robust Policy Learning via Adversarial Environment Generation
irom-lab/PAC-Vision-Planning
irom-lab/PAC-BUS
Code for: "Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability"
irom-lab/trc-nn
Code for the neural network task-revelevant control experiments.
irom-lab/AMR-Policies
irom-lab/task-relevant-control
irom-lab/Task_Relevant_OOD_Detection
Code for paper titled: "Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning."