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分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

Python sample codes for robotics algorithms.

deep learning for image processing including classification and object-detection etc.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

yewtube, forked from mps-youtube , is a Terminal based YouTube player and downloader. No Youtube API key required.

Common used path planning algorithms with animations.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

Keras code and weights files for popular deep learning models.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Papers and Datasets about Point Cloud.

A Blender add-on to import models from google maps

Community for applying LLMs to robotics and a robot simulator with ChatGPT integration

A large-scale benchmark and learning environment.

NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/ab…

Python implementation of a bunch of multi-robot path-planning algorithms.

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

A Kitti Road Segmentation model implemented in tensorflow.

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Deep Reinforcement Learning with pytorch & visdom

Convert KITTI dataset to ROS bag file the easy way!

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

A toolkit for robot learning research.

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…

Sim-to-real RL training and deployment tools for the Unitree Go1 robot.

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot contr…

A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.

Learning Implicit Surfaces from Point Clouds (ECCV 2020)

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.