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Name: Learning
Type: User
Location: US
Name: Learning
Type: User
Location: US
A R Program to do some spatial statistics
Random Forest - a curated list of resources regarding random forest
An integrated shell for working with the AWS CLI.
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.
Collections of geoprocessing tools for coupled human-natural systems (CHANS) analysis using R scripts within ESRI's ArcGIS
Based on the deep learning framework (Caffe), the classification of the optical remote sensing image UCMerced LandUse dataset was completed.
COCO API - Dataset @ http://cocodataset.org/
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
Kitware's system for 3D building reconstruction for the IARPA CORE3D program
Simple container repo for data from Conservation Biology Informatics Group
Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).
π GSU MPA/MPP course on data visualization with R and ggplot2
Data Envelopment Analysis θ³ζε η΅‘εζ
A Decision Support System for Document Retrieval and Study Selection in the Systematic Literature Review Process
Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau
A collection of various deep learning architectures, models, and tips
This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).
Deep-learning applied to semantic segmentation of remote sensing data
Exploring the use of machine learning to convert a Digital Surface Model (e.g. SRTM) to a Digital Terrain Model
Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City
Generates DTM (Digital Terrain Model) from DSM (Digital Surface Model).
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Epidemic Modeling 101: Or why your CoVID19 exponential fits are wrong
GeoTrellis PointCloud library to work with any pointcloud data on Spark
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.