Carlitosh
Agricultural Engineer - Geospatial data scientist - UNRC - KSU - R & Python - DigitalAg & Data Analytics in Agriculture
Manhattan, Kansas
Carlitosh's Stars
meta-llama/llama
Inference code for Llama models
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models
mm-mansour/Fast-Pandas
Benchmark for different operations in pandas against various dataframe sizes.
r-spatial/rgee
Google Earth Engine for R
deepVector/geospatial-machine-learning
A curated list of resources focused on Machine Learning in Geospatial Data Science.
kr-stn/awesome-sentinel
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
corteva/rioxarray
geospatial xarray extension powered by rasterio
GeostatsGuy/GeostatsPy
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
e-sensing/sits
Satellite image time series in R
allenai/satlas
souravbhadra/raster4ml
A geospatial raster processing library for machine learning
hydroclimali/XEE_tutorial
diegovalsesia/speckle2void
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
r-tidy-remote-sensing/tidyrgee
Create tidyverse methods for dealing with GEE image and imageCollections.
moienr/SoilNet
A Spatio-temporal Framework for Soil Property Prediction with Digital Soil Mapping (DSM)
gee-community/geeViz
Repository of GEE libraries produced by RedCastle Inc at the US Forest Service Geospatial Technology Applications Center
AgRoMeteorologiaINTA/agroclimatico
Conjunto de funciones para calcular índices y estadísticos climáticos hidrológicos a partir de datos tidy. Incluye una función para graficar resultados georeferenciados y e información cartográfica.
MAGALA-RICHARD/apsimNGpy
ApsimNGpy is a Python library designed as an implementation of the APSIM Next Generation crop and environmental simulation model. This library is built upon the Pythonnet API, providing direct communication with the APSIM model. Notably, it offers a significant speed advantage, being twice as fast as the graphical user interface for simulations.
julienmalard/traDSSAT
A (friendly) DSSAT input and output file reader and writer.
OceanOptics/pylr2
Linear Regression Type II Models
mazieres/analysis
Some function for basic statistical analysis with python
GustavoSantiago113/Sorghum_Grain_Counter
adriancorrendo/2024Rworkshop
Intro to R coding for Ag
AGSA-KSU/vcs-workshop
giordanon/IDataField
germanmandrini/barley_yield_prediction
Sample project predicting yield for barley in Germany, using weather annual aggregated variables
jlacasa/jlacasa.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
leombastos/2024_ppa
PPaccioretti/EstadisticaEspacial
Respositorio con material de Estadistica para datos Espaciales.