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rtklib

RTKLIB开源库有着强大的GPS数据实时和后处理功能，由于笔者的毕业设计中需要对GPS载波相位观测量进行RTK解算，故而，对RTKLIB开源库进行了学习与研究。 RTKLIB提供了很多底层的函数，笔者准备直接对源码进行编译输出标准DLL的方式供C#调用。所用的VS平台是VS2012（其它VS版本类似），RTKLIB库用的是网上使用的最多，相对稳定的rtklib_2.4.2版本，编译的项目采用“相对路径”，即工程可移植到任何地方，方便以后使用。

rtklib-1

sc-lego-loam

LiDAR SLAM: Scan Context + LeGO-LOAM

sc-lio-sam

LiDAR-inertial SLAM: Scan Context + LIO-SAM

self_driving_car_engineer

Udacity's Self Driving Car Engineer Nano-Degree

sensor-fusion-for-localization-and-mapping

深蓝学院 多传感器定位融合第四期 学习笔记

simple-pid

A simple and easy to use PID controller in Python

simplefoc

A GUI based in PyQT5 and PyQtGraph to configure and control SimpleFOC devices.

slambook

slambook2

edition 2 of the slambook

source-codes-3dvison

Source codes collection for 3d vision 视觉三维重建领域的源码收集

speechbrain

A PyTorch-based Speech Toolkit

stereo-3d-object-detection-for-autonomous-driving

3D object detection using Stereo-RCNN for Autonomous Driving

stereo-rcnn

Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)

sync_gps_lidar_imu_cam

lidar-imu-cam-GPS时间戳硬件同步方案

tensorflow

图解tensorflow 源码

tensorflow-course

:satellite: Simple and ready-to-use tutorials for TensorFlow

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

the-gan-zoo

A list of all named GANs!

tianshou

An elegant PyTorch deep reinforcement learning library.

tutorials

PyTorch tutorials.

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

u-boot

"Das U-Boot" Source Tree

ucas-course

**科学院大学研一课程课件共享项目University of Chinese Academy of Sciences postgraduate course textbook sharing project

ugv_sdk

C++ SDK for Mobile Robot Platforms

unet_tensorflow

unet for image segmentation