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aider

aider is AI pair programming in your terminal

arq

Fast job queuing and RPC in python with asyncio and redis.

bridge_data_robot

bridge_data_v2

cgn_pytorch

Contact Graspnet Pytorch Implementation

contact_graspnet

Efficient 6-DoF Grasp Generation in Cluttered Scenes

crowdnav

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deep_grasp_demo

Deep learning for grasp detection within MoveIt.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

detectron2_ros

A ROS Node for detecting objects using Detectron2.

dgl_ros

Deep grasp library for ROS2

docker-novnc

noVNC Display Container for Docker

dspy

DSPy: The framework for programming—not prompting—foundation models

ecl_tools

Tools and utilities for the embedded control libraries.

emulator

Emulates emul8

franka_ros

ROS integration for Franka Emika research robots

gpd

Detect 6-DOF grasp poses in point clouds

graspnet-baseline

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

hf-codegen

A repository of Python scripts to scrape code contents of the public repositories of `huggingface`.

interbotix_ros_core

Core ROS Packages for Interbotix Robots

interbotix_ros_rovers

ROS Packages for Interbotix Rovers

interbotix_ros_toolboxes

Support-level ROS Packages for Interbotix Robots

interpretableattention

llama3

The official Meta Llama 3 GitHub site

loco-mujoco

Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.

m4-logs

M4 experiment logbook

mbodied-agents

Seamlessly integrate state-of-the-art transformer models into robotics stacks

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.

moveit

:robot: The MoveIt motion planning framework