Marcelo Bueno Dueñas (kundun14)

kundun14

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Location:Perú

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Marcelo Bueno Dueñas's starred repositories

create-react-app

Set up a modern web app by running one command.

Language:JavaScriptLicense:MITStargazers:102576Issues:1921Issues:8309

Tensor-Puzzles

Solve puzzles. Improve your pytorch.

Language:Jupyter NotebookLicense:MITStargazers:3171Issues:12Issues:20

geocompr

Geocomputation with R: an open source book

Language:RLicense:NOASSERTIONStargazers:1531Issues:44Issues:577

awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

awesome-geospatial-companies

:globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

Language:PythonLicense:MITStargazers:719Issues:32Issues:46

Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

Language:Jupyter NotebookLicense:MITStargazers:709Issues:11Issues:7

segment-anything-eo

Earth observation tools for Meta AI Segment Anything

Language:Jupyter NotebookStargazers:402Issues:9Issues:8

torchrs

PyTorch implementation of popular datasets and models in remote sensing

Language:PythonLicense:MITStargazers:348Issues:10Issues:7

sfnetworks

Tidy Geospatial Networks in R

Language:RLicense:NOASSERTIONStargazers:342Issues:15Issues:178

elevatr

An R package for accessing elevation data

Language:RLicense:NOASSERTIONStargazers:198Issues:9Issues:88

ARSET_ML_Fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:193Issues:13Issues:1

RSICD_optimal

Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

pyGIS

pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications. -- Under Development --

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:161Issues:6Issues:49

geeguide

Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts

Language:Jupyter NotebookStargazers:123Issues:4Issues:8

MixSIAR

A framework for Bayesian mixing models in R:

vapour

GDAL API package for R

earthformer

A Python package for Earth forecasting transformer

Language:PythonLicense:Apache-2.0Stargazers:76Issues:7Issues:1

Crop-Yield-Prediction-using-ML

A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input

geospark

bring sf to spark in production

unet_sem_seg

Semantic segmentation of satellite imagery using U-nets (U-nets: https://arxiv.org/abs/1505.04597)

Language:PythonStargazers:15Issues:2Issues:0
Language:PythonLicense:MITStargazers:14Issues:2Issues:0

hydRopclim

💾 An R package for easy hydroclimatic calculations

Language:RLicense:GPL-3.0Stargazers:14Issues:3Issues:0

moranfast

Code to calculate Moran's I in R quickly and memory efficiently

Language:C++Stargazers:14Issues:0Issues:0

NNDM

Nearest Neighbour Distance Matching Leave-One-Out Cross-Validation for map validation

Language:RLicense:GPL-3.0Stargazers:7Issues:2Issues:1

soil_moisture_SMAP_machine_learning

Scripts for the spatial analysis, processing and regression modeling of soil moisture retrieved from SMAP satellite using R

smap_downscaling

Notebooks for downscaling SMAP soil moisture and validation against in situ data

Language:Jupyter NotebookLicense:MITStargazers:5Issues:1Issues:0

soil-remote-sensing-system

Google Earth Engine algorithm for generating synthetic soil composites from Landsat catalog.

Language:JavaScriptLicense:MITStargazers:2Issues:1Issues:0

english-cheatsheet

One page with English grammar based on Bootstrap

Language:HTMLStargazers:1Issues:1Issues:0