godic97

FAST_LIO_SLAM_ros2

LiDAR SLAM = FAST-LIO + Scan Context, ported to ros2

septentrio_gnss_driver

ROS 1 & 2 driver for Septentrio GNSS & INS receivers

GLIO

GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation

ros2-ublox-zedf9p

ROS2 drivers for U-blox ZED F9P

r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

li_slam_ros2

ROS 2 package of tightly-coupled lidar inertial ndt/gicp slam

LIO_SAM_6AXIS

LIO_SAM for 6-axis IMU and GNSS.

PyICP-SLAM

Full-python LiDAR SLAM using ICP and Scan Context

SC-A-LOAM

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

SC-LIO-SAM

LiDAR-inertial SLAM: Scan Context + LIO-SAM

ros2_ouster_drivers

ROS2 Drivers for the Ouster OS-0, OS-1, and OS-2 Lidars

PythonRobotics

Python sample codes for robotics algorithms.

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

DistDepth

Repository for "Toward Practical Monocular Indoor Depth Estimation" (CVPR 2022)

kochat

Opensource Korean chatbot framework

DeepLabCut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

amazing-bard-prompts

This repo includes Google Bard prompt curation to use Bard better.

Bard-API

The unofficial python package that returns response of Google Bard through cookie value.

080355

유니티 교과서, 개정6판

metaseq

Repo for external large-scale work

Newtonsoft.Json

Json.NET is a popular high-performance JSON framework for .NET

Unity_ML_Agents_2.0

Repository for implementing Unity ML-Agents 2.0

rtgym

Easily implement custom Gymnasium environments for real-time applications

how_to_study_rl

The text for those who want to study reinforcement learning in Korean

KoGPT2

Korean GPT-2 pretrained cased (KoGPT2)

ma-gym

A collection of multi agent environments based on OpenAI gym.

ImageBind

ImageBind One Embedding Space to Bind Them All

sketchsort-minmax