A library of reinforcement learning components and agents

A collaboration friendly studio for NeRFs

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

An efficient and consistent bundle adjustment for lidar mapping

Universal grid map library for mobile robotic mapping

Robust Lidar Odometry System

Monte Carlo Localization using Neural Radiance Fields

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

A library for differentiable nonlinear optimization

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

[CVPR 2022] README.md The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions

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

Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels

高性能并行编程与优化 - 课件

Chinese translation of Bjarne Stroustrup's HOPL4 paper

A collection of ergonomic split keyboards ⌨

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

[IROS 2020] Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation

This repository provides implementation of an incremental k-d tree for robotic applications.

CUDA Visual Library by RPG

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]

A 3D Dense mapping backend library of SLAM based on taichi-Lang designed for the aerial swarm.

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

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor