Highlights
- Pro
Lists (1)
Stars
A game theoretic approach to explain the output of any machine learning model.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Global shoreline mapping tool from satellite imagery
Tutorials and content created by Earth Engine users, for Earth Engine users
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
interactive notebooks from Planet Engineering
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
A Satellite Time Series Dataset for Crop Type Identification
Expandable Datasets for Earth Observation
Earth Engine and Geemap: Geospatial Data Science with Python
An ecosystem of data, models and code pipelines to tackle flooding with ML🌊
Examples of using Raster Vision on open datasets
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
Repository for SEN12MS related codes and utilities
Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication
Crop type mapping of small holder farms in Ghana, and South Sudan
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
Using Jupyter as an Earth Engine IDE - Community Contributions
Multitemporal Cloud Masking in the Google Earth Engine
A reference deployment of the Open Data Cube including automatic indexing of Sentinel-2 level 2 data.
Library to create Multi Seasonal remote sensing indexes composites
Este repositório apresenta uma adaptação demonstrativa do módulo S2DR3, criado pela equipe Gamma Earth.