Pratyush Tripathy (@PratyushTripathy)
github

PratyushTripathy

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  • Stars
    star
    353
  • Global Rank 78,049 (Top 3 %)
  • Followers 181
  • Following 11
  • Registered over 7 years ago
  • Most used languages
    Python
         55.6 %
    Batchfile     11.1 %
    Jupyter Notebook
         11.1 %
    JavaScript
         11.1 %
    QML     11.1 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 25,224
  • Country Ranking
    QML     96
    Batchfile     193
    Python
         5,060
    JavaScript
         7,876

Top repositories

1

global_flood_mapper

This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."
JavaScript
110
star
2

Landsat-Classification-Using-Neural-Network

All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.
Python
71
star
3

QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning

Python
48
star
4

Landsat-Classification-Using-Convolution-Neural-Network

Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
Python
47
star
5

pyrsgis

This repository cointains the source code of the 'pyrsgis' Python package.
Python
33
star
6

COINS

This repository contains the source code of the COINS tool that allows to deduce natural continuity of street network.
Python
21
star
7

python_gdal_automated_windows

This repository contains the script for automated download, installation and set-up of Python and GDAL.
Batchfile
15
star
8

Land-Cover-Using-Machine-Learning

This repository contains links to resources for land cover classification.
QML
5
star
9

Kathmandu_urban_growth_gwr

Jupyter Notebook
1
star