xiaoguorui Goto Github PK

ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

ai-imu-dr

AI-IMU Dead-Reckoning

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

cloudcompare

CloudCompare main repository

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

eagleye

Precise localization based on GNSS and IMU.

f9p_rawx_logger

A guide on how to assemble a GNSS PPK RAWX Logger from an Adafruit Feather M0 Adalogger and a SparkFun GPS-RTK2 Board which incorporates the u-blox ZED-F9P dual band (L1 + L2) GNSS receiver

fcb-files

Fcb products published by SGG.(Xiaohong Zhang，Fei Guo，Pan Li，Jiahuan Hu)

geodezyx-toolbox_v4

The purpose of the GeodeZYX toolbox is to provide simple but useful functions for Geodesy and Geophysics.

georinex

Python RINEX 2/3 NAV/OBS reader / batch conversion to HDF5 with C-like speed using xarray

geostat2018

Material for the course on machine-learning based environmental monitoring at geostat 2018

gnsspy

Python Toolkit for GNSS Data

gogps_matlab

goGPS MATLAB is an advanced GNSS observation processing software.

gps-measurement-tools

gpspace

NRCan-CGS GPSPACE software / Logiciel GPSPACE de LGC-RNCan

gpstk

The goal of the GPSTk project is to provide an open source library and suite of applications to the satellite navigation community--to free researchers to focus on research, not lower level coding.

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

ia_lio_sam

IA-LIO-SAM is enhanced LIO-SAM using Intensity and Ambient channel from OUSTER LiDAR.

ignav

integrated navigation for ins and gnss

imu_tools

ROS tools for IMU devices

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kitti-dataset

Examination of the KITTI dataset.

lambda

LAMBDA for Python (Least Squares Ambiguity Decorrelation Adjustment)

landslide-susceptibility

Landslide susceptibility mapping by deep learning and slope unit

lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

lio-sam

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

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data