sharadgupta27 Goto Github PK

sentinel2-cloud-detector

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

sentinelhub

Download Sentinel-2 data from Sentinel-2 on AWS to ESA SAFE format.

sentinelsat

Search and download Copernicus Sentinel satellite images

shaddai

SHARAD Data Download Application

shadow-model

Repo for Christian's best-practices paper

shap

A game theoretic approach to explain the output of any machine learning model.

shapeprjread-pkg

Read a projected shapefile into Matlab

shaperecognition

Shape recognition for simple objects using image processing

sharad-tools

A set of MATLAB scripts to perform pulse compression and produce radargrams from SHARAD EDR data

sharad3d

making 3D subsurface interfaces from SHARAD data

sharad_tools

Tools for reading and viewing SHARAD products produced on CO-SHARPS

sharadgupta27

Config files for my GitHub profile.

sharadgupta27.github.io

SinglePaged - Simple Jekyll template

shinyfit

Fully-featured multivariable regression on your browser via Shiny

siac

A sensor invariant Atmospheric Correction (SIAC)

sidl

Deep Learning code

sif_tools

some tools for accessing OCO-2 data

siggraph2016_colorization

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

siml

Machine Learning algorithms implemented from scratch

simple-hourglass

Simplified implementation about FCN-8, U-Net and RedNet in tensorflow with simple dataset

simplenn

sm2rain

Python and Matlab implementation of the SM2RAIN algorithm

sm2rain_ascat_reader

Simple MATLAB and Python SM2RAIN-ASCAT reader

smap-hydroblocks_postprocessing

Code for postprocessing the SMAP-HydroBlocks dataset from the Hydrological Response Unit (HRU) space into the geographically gridded space. More information on SMAP-HydroBlocks at https://waterai.earth/smaphb/

smartmapplugin

Plugin Qgis3.10.x para interpolação utilizando Krigagem Ordinária (OK), Machine Learning (ML) e Geração de Zonas de Manejo

smoothly-blend-image-patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

smrtool

A calculator for Slope Mass Rating

smt

Surrogate Modeling Toolbox

smvs

Shading-aware Multi-view Stereo