geospatial-data-science Goto Github PK
Name: Geospatial Data Science
Type: Organization
Bio: Tools to work at the intersection of GIS and Data Science
Name: Geospatial Data Science
Type: Organization
Bio: Tools to work at the intersection of GIS and Data Science
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List of satellite imagery datasets with annotations for computer vision and deep learning
Caffe: a fast open framework for deep learning.
Home of the Community Intercomparison Suite.
Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons
CUDA-accelerated GIS and spatiotemporal algorithms
Open Data Cube analyses continental scale Earth Observation data through time
Python tools for creating density maps of events (drunk tweets, police shootings, etc)
Phase I & part of Phase II of NASA SBIR - Parallel Machine Learning on Satellite Data
Google Earth Engine subset script & library
Google Earth Engine Tools (scripts)
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Geo-utilities for distributed processing of satellite imagery using Xarray and Dask arrays
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Implementation of IEEE paper on Image dehazing using multiple scale fusion.
Data Preparation for Satellite Machine Learning
Get Landsat surface reflectance time-series from google earth engine
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
Pangeo Example Notebooks
Python library for optimized interpolation.
A machine learning python package to run deep learning with satellite imagery
A python script for downloading clips of satellite images from Planet Labs
Combining satellite imagery and machine learning to predict poverty
A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty
:earth_americas: Simple and fast watershed delineation in python.
Machine learning modelling for spatial data
Contributed data sources for QuickMapServices
An open source framework for deep learning on satellite and aerial imagery.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.