Name: Sharad Shingade
Type: User
Company: UXO-India, Valectus (https://valectus.com/)
Bio: Spatial Thinker, UXO-India, Valectus, New York University Stern School of Business, United Nations Habitat III, Idfc institute, ITC-University of Twente.
Location: New panvel, New Mumbai
Blog: http://atlasofurbanexpansion.org/about
Sharad Shingade's Projects
Course materials of Automating GIS processes -course for year 2017, Department of Geosciences and Geography, Uni. Helsinki
Detection of slums and informal settlements from satellite imagery
A curated list of awesome Machine Learning frameworks, libraries and software.
Deep Learning SDK for Geospatial Data
A curated collection of free eBooks about Python
Simple Python SDK for using GBDX.
This Script is developed for Automation of Halton Generation and creating Halton sample circle over geographic space
Stop plotting your data - annotate your data and let it visualize itself
Data on religion and politics in India
Data Preparation for Satellite Machine Learning
Automated download of LANDSAT data from USGS website
Mapnik is an open source toolkit for developing mapping applications
A collection of Machine Learning Tools for object detection and classification on DG imagery.
Real-Time Object Recognition App with Tensorflow and OpenCV
OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").
OSMnx: Python for street networks. Retrieve, construct, analyze, and visualize street networks from OpenStreetMap.
A cookbook full of recipes for using the Python GDAL/OGR bindings.
My Python Examples
Code Repository for Python Geospatial Development- Third Edition, Publish by Packt Publishing
Python codes for geospatial analytics
An open source framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water
Resources for deep learning with satellite & aerial imagery