krishnakafle's repositories

gee-tutorials

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

Blog_kaflekrishna

All the code in this branch will be python based, upon jupyter notebook. You will be able to find all codes for Google Earth Engine(GEE) on this repository. You will be able to link code with each post blog on readme file for each folders. Content from the Blog https://kaflekrishna.com.np will be uploaded here. https://google-earth-engine.com/

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awesome-spatial-data-science

We will try to bring up the information related to the spatial data science together in this page. Please add the details so as to bring up the related topics in single place.

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django-vector-tiles

Vector tiles with Django for developing GIS web applications. Sample project for the implementation of vector tiles in Django. If you are facing issues on webGIS projects where you need vector layers but can't visualize layers due to the large size of the shapefile or geojson, you are in right place. You may have seen a slow rendering time of a large geojson layer. Or you may have generalized the layer and tried to visualize the layer and found inconsistency between layers. You don't have to face similar issues anymore.

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briefcase

ODK Briefcase is a Java application for fetching and pushing forms and their contents. It helps make billions of data points from ODK portable. Contribute and make the world a better place! ✨💼✨

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DjangoHostSample

This project is intended for the demonstration of deploying djano application in ubuntu 20.04

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djangorestframework-mvt

Serve Mapbox Vector Tiles with Django and Postgres

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geonode-nepal

GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.

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Deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

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