Qiusheng Wu (giswqs)

giswqs

Geek Repo

Company:University of Tennessee

Location:Knoxville, TN

Home Page:https://gishub.org

Twitter:@giswqs

Github PK Tool:Github PK Tool


Organizations
conda-forge
gee-community
opengeos
pangeo-data

Qiusheng Wu's repositories

gh-pages-html-template

A simple template for deploying an HTML website to GitHub Pages

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leafmap-jupyterlite

Leafmap for Jupyterlite

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notebook-share

A repo for sharing notebooks

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lonboard

Python library for extremely fast geospatial vector data visualization in Jupyter.

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ipyleaflet

A Jupyter - Leaflet.js bridge

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streamlit-maps

A steamlit app for mapping applications

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geohey

A python package demo for geospatial

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leafmap-feedstock

A conda-smithy repository for leafmap.

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localtileserver

🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium. Also a Flask application under the hood for use in lightweight web apps with CesiumJS

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py-maplibregl

Python bindings for MapLibre GL JS

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dask-ee

Google Earth Engine Feature Collections via Dask Dataframes

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googlemaps-feedstock

A conda-smithy repository for googlemaps.

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jupytergis

JupyterGIS

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segment-geospatial-feedstock

A conda-smithy repository for segment-geospatial.

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awesome-maplibre

A collection of awesome things that use or support MapLibre!

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geospatial-feedstock

A conda-smithy repository for geospatial.

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staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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Xee

An Xarray extension for Google Earth Engine

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hypercoast-feedstock

A conda-smithy repository for hypercoast.

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lonboard-feedstock

A conda-smithy repository for lonboard.

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maplibre-feedstock

A conda-smithy repository for maplibre.

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NFW-Project

Source code for the non-floodplain wetlands project

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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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SciPy2024-GitHubActionsTutorial

Content for SciPy 2024 Tutorial "Github Actions for Scientific Data Workflows."

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VITALS

This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.

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