rifatSDAS

anaconda

Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

ArcPy

Python and R Tools for Use in ArcGIS and other interfaces

Arcpy-1

ESRI Arcpy scripts.

geoserver

Official GeoServer repository

py_spectral_index

This a repository of numbers of spectral index for remote sensing studies. All of the available spectral indexes are coded in python.

pyscript

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

raster-analysis-plotting

Example jupyter notebooks for multiband raster data analysis

satellite_machine_learning

Unsupervised and supervised learning for satellite image classification

satellite_optical_indices

Mostly used optical indices with satellite images for studying earth surface and different features and their changes in spatio-temporal scale.

rifatSDAS/satellite_machine_learning

Unsupervised and supervised learning for satellite image classification

rifatSDAS/satellite_optical_indices

Mostly used optical indices with satellite images for studying earth surface and different features and their changes in spatio-temporal scale.

rifatSDAS/py_spectral_index

This a repository of numbers of spectral index for remote sensing studies. All of the available spectral indexes are coded in python.

rifatSDAS/pyscript

rifatSDAS/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rifatSDAS/raster-analysis-plotting

Example jupyter notebooks for multiband raster data analysis

rifatSDAS/desktop

Fork of GitHub Desktop to support various Linux distributions

rifatSDAS/earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

rifatSDAS/eo-learn

Earth observation processing framework for machine learning in Python

rifatSDAS/fabric

Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/fabric

rifatSDAS/geoplotlib

python toolbox for visualizing geographical data and making maps

rifatSDAS/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

rifatSDAS/leaflet-search

Search stuff in a Leaflet map

rifatSDAS/leaflet-view-meta

Leaflet control that displays and persists map view meta-data, center and boundary coordinates to URL for precise sharing and view reconstruction.

rifatSDAS/mysql-connector-python

MySQL Connector/Python is implementing the MySQL Client/Server protocol completely in Python. No MySQL libraries are needed, and no compilation is necessary to run this Python DB API v2.0 compliant driver. Documentation & Download: http://dev.mysql.com/doc/connector-python/en

rifatSDAS/mysql-server

MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.

rifatSDAS/node

Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:

rifatSDAS/non-profit-blockchain

Builds a blockchain network and application to track donations to non-profit organizations, using Amazon Managed Blockchain

rifatSDAS/pong

Atari's 1972 classic, implemented in Lua with LÖVE

rifatSDAS/pyspectral

pyspectral is a package to read and manipulate satellite sensor spectral responses and solar irradiance spectra

rifatSDAS/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

rifatSDAS/pywin32

Python for Windows (pywin32) Extensions

rifatSDAS/qgis-earthengine-examples

A collection of 300+ Python examples for using Google Earth Engine in QGIS

rifatSDAS/rifatSDAS.github.io

My github user website

rifatSDAS/s1tbx

The Sentinel-1 Toolbox

rifatSDAS/s2tbx

Sentinel 2 Toolbox (s2tbx)

rifatSDAS/s3tbx

A toolbox for the OLCI and SLSTR instruments on board of ESA's Sentinel-3 satellite

rifatSDAS/scikit-learn

scikit-learn: machine learning in Python

rifatSDAS/SOMO

#SBHACK19

rifatSDAS/t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks