yuan-newhub Goto Github PK

api-crime-mapping

A R Program to do some spatial statistics

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

aws-shell

An integrated shell for working with the AWS CLI.

cellularautomata

A cellular automaton (pl. cellular automata, abbrev. CA) is a discrete model studied in computer science, mathematics, physics, complexity science, theoretical biology and microstructure modeling.

chans-tools

Collections of geoprocessing tools for coupled human-natural systems (CHANS) analysis using R scripts within ESRI's ArcGIS

charles-metronamica-optimiser

cnn_ucmerced-landuse_caffe

Based on the deep learning framework (Caffe), the classification of the optical remote sensing image UCMerced LandUse dataset was completed.

cocoapi

COCO API - Dataset @ http://cocodataset.org/

crossin-programming-room

csc18

csf

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

danesfield

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

data-cbig

Simple container repo for data from Conservation Biology Informatics Group

data-visualization

Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).

datavizm20.classes.andrewheiss.com

🎓 GSU MPA/MPP course on data visualization with R and ggplot2

dea

Data Envelopment Analysis 資料包絡分析

decision-support-system

A Decision Support System for Document Retrieval and Study Selection in the Systematic Literature Review Process

deeplabforrs

Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau

deeplearning-models

A collection of various deep learning architectures, models, and tips

dl-for-satellite-image-analysis

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

dl-semantic-segmentation

Deep-learning applied to semantic segmentation of remote sensing data

dsm-to-dtm

Exploring the use of machine learning to convert a Digital Surface Model (e.g. SRTM) to a Digital Terrain Model

dsm2dtm

Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City

dsm2dtm-1

Generates DTM (Digital Terrain Model) from DSM (Digital Surface Model).

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

epidemiology101

Epidemic Modeling 101: Or why your CoVID19 exponential fits are wrong

geotrellis-pointcloud

GeoTrellis PointCloud library to work with any pointcloud data on Spark

getmap

自动从谷歌或高德下载卫星或街道地图

ghana

ghana1