Balala's repositories
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.
GraphGNSSLib
An Open-source Package for GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization
ignav
integrated navigation for ins and gnss
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
slamshizhanjiaocheng
QQ交流群号码925533821
ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
XSLAM
Learn SLAM