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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome_3d_slam_resources

记录3D视觉、VSLAM、计算机视觉的干货资料。

carvig

integrated navigation for ins/gnss/vision for vehicle positioning

geodepy

A toolkit for Geodesy and Surveying in Python

ginan

The Australian Government, through Positioning Australia (part of Geoscience Australia), is funding the design, development and operational service of a Global Navigation Satellite System (GNSS) position correction system - the Ginan service and toolkit. The application of the Ginan correction service by a GNSS device has the potential to increase positioning accuracy from meters to centimetres across Australia. The suite of software systems in this repository (the Ginan toolkit) will be used to create the service. It is available now under an open source licence. Ginan will give individuals and organisations no-cost access to the Ginan software and service as a public good.

git_notes

web前端工程师 -前后端交互技术 Git和GitHub详解（完） ----学习笔记

graphgnsslib

An Open-source Package for GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization

ignav

integrated navigation for ins and gnss

ltslam

lean slam step by step

navego

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

ob_gins

An Optimization-Based GNSS/INS Integrated Navigation System

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pangolin-0.5

fix compiling issues for orbslam2 with ubuntu20.04

pangolin-v.05

It's a correct package.

pride-pppar

An open‑source software for Multi-GNSS PPP ambiguity resolution

rtklib

A version of RTKLIB optimized for single and dual frequency low cost GPS receivers, especially u-blox receivers. It is based on RTKLIB 2.4.3 and is kept reasonably closely synced to that branch. Documentation for RTKLIB is available at rtklib.com. This software is provided “AS IS” without any warranties of any kind so please be careful, especially if using it in any kind of real-time application. Binaries and tutorials for this code, and sample GPS data sets at :

rtklib-py

Python implementation of RTKLIB. Based on demo5 version. Currently only supports PPK solutions

rtklib_l1l5

slamshizhanjiaocheng

QQ交流群号码925533821

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

xslam

Learn SLAM