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pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pytracking

Visual tracking library based on PyTorch.

qpoases

Open-source C++ implementation of the recently proposed online active set strategy

quadprogpp

A C++ library for Quadratic Programming which implements the Goldfarb-Idnani active-set dual method.

rec-attend-public

Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"

refinedet

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

repvgg

RepVGG: Making VGG-style ConvNets Great Again

retinanet-pytorch

这是一个retinanet-pytorch的源码，可以用于训练自己的模型。

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

robot_navigation

WeChangeTech ROS robot slam and anvigation demo

robotics-cooperative-path-planning-03-hybrid-a-star-trajectory-planning

Hybrid A Star Trajectory Planning in multi-vehicle cooperative planning in narrow free space.

rolo

ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking

ros

Core ROS packages

ros2

The Robot Operating System, is a meta operating system for robots.

ros2_21_tutorials

ros_exploring

《ROS机器人开发实践》源码

ros_qt5_gui_app

ROS human computer interface based on Qt5(基于Qt5的ROS人机交互界面)

ros_qt_demo

rrc_detection

Accurate Single Stage Detector Using Recurrent Rolling Convolution

rs_driver

RoboSense LiDAR cross-platform driver kernel for advanced development

rslidar_sdk

RoboSense LiDAR SDK for ROS & ROS2

scnn_pytorch

Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"

sdc_nd_t3p1_path_planning

Create a path planner to safely drive a car on a 3 lane highway and pass slow cars

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segment-everything-everywhere-all-at-once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

semantic-kitti-api

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

semantic-sam

Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"