Giters
Fernando Tentor (Fernigithub)

Fernigithub

Geek Repo

6

followers

15

following

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Location:Argentina

Home Page:https://www.linkedin.com/in/fernando-tentor-99807852/

Twitter:@FerTent

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Organizations
centro-regional-de-geomatica
GeoagrobyTEK

Fernando Tentor's repositories

earthengine-py-notebooks

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

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Fernigithub

Profile

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aquacrop

AquaCrop-OSPy: Python implementation of AquaCrop-OS

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cheginit

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docker

GeoServer docker image

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downstream_path

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earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

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EarthEngine_scripts

scripts and snippets for Google Earth Engine

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ee-jupyter-examples

Example Jupyter Notebooks, including ones that use the Earth Engine Python API

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fetch_sheet

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folium

Python Data. Leaflet.js Maps.

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folium_contrib

User contributed examples

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geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

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geospatial-modeling-course-jupyter

tmpnb runtime and Jupyter Notebooks for NCSU Geospatial Modeling and Analysis course

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metrics

📊 An infographics generator with 30+ plugins and 200+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

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notebooks

interactive notebooks from Planet Engineering

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OpenEarthEngineLibrary

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OTBN

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phenofit

A state-of-the-art Vegetation Phenology extraction package: phenofit

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PML

Penman-Monteith-Leuning Evapotranspiration in GEE

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robmarkcole

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satell

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segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

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Segmentation

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streamlit

Streamlit — The fastest way to build data apps in Python

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streamlit-agent

Reference implementations of several LangChain agents as Streamlit apps

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streamlit-geospatial

A multi-page streamlit app for geospatial

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TimeSeriesAnalysisWithPython

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tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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