Cristhian's starred repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
python-docs-samples
Code samples used on cloud.google.com
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
GlobalMLBuildingFootprints
Worldwide building footprints derived from satellite imagery
Awesome-Segment-Anything
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
DeepForest
Python Package for Airborne RGB machine learning
segmenteverygrain
A SAM-based model for instance segmentation of images of grains
PlanetaryComputerExamples
Examples of using the Planetary Computer
Google-Earth-Engine-Python-Examples
Various examples for Google Earth Engine in Python using Jupyter Notebook
Sentinel-download
Automated download of Sentinel-2 L1C data from ESA (through wget) :http://olivierhagolle.github.io/Sentinel-download
Geometric-Attributes-Toolbox
The Geometric Attributes toolbox is a set of QGIS tools designed for the geometric attribute and shape characterization of modern depositional elements
EarthEngineMasterGIS
Conviertete en un especialista en Google Earth Engine
segment-everything
Running Segment Anything Geospatial over Earth Engine exports with Dataflow at scale.
Peru-tensorflow-training
A GitHub repository for the TensorFlow Training held in Peru (August 8th-11th)
workshop-01-vertex
Workshop abierto y gratuito ¿Cómo hacer ciencia de datos en la nube de Google? // 2022-16-06
deforestation_detection_using_deep_learning
Project on detecting deforestation using deep learning algorithms
tensorflow-ml-models
Tensorflow Model Notebooks
gmw_planetary_computer_s2_alerts
Repo with the code producing the GMW alerts using the Microsoft Planetary Computer
Bootcamp-SenderoVerde
Semantic Segmentation for deforestation in Bolivia.
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users