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Starred repositories
This repository contains code to reproduce the experiments in the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"
most pretty & lovely tables with matplotlib
Describing the methods used to develop a long-term NDVI product for Australia based on AVHRR and MODIS datasets
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised v…
base / chains
Forked from ethereum-lists/chainsprovides metadata for networkIDs and chainIDs
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
Feature Selection Library for Data Sciences in Python
Deep learning system; Docker image access; Pypi package; GEE access; image segmentation; density estimation; dataset open; pre-trained models open; PNAS Nexus publication
TERN forest structure metrics, in Python
Randomizes the case of every character in some text for social media. Useful for mocking retards and shitheads.
Publication-ready NN-architecture schematics.
Playground for examining functional relationships proposed in coastal sediments literature for grain size info predicted by beach slope, hydrodynamics, etc
1
Updated Aug 25, 2021
The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
Keras implementation of ViT (Vision Transformer)
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
Imaging Spectrometer Optimal FITting (ISOFIT) contains a set of routines and utilities for fitting surface, atmosphere and instrument models to imaging spectrometer data.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using https://github.com/Doodleverse/dash_doodler
A python/openCV tool for "Human-In-The-Loop" image segmentation and label image creation using semi-supervised ML
Interactive tools for spectral mixture analysis of multispectral raster data in Python
Python implementation of the SM2RAIN algorithm
Empirical wave runup models implemented in Python
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Website of Duke Bass Connections project for monitoring land cover dynamics in the coastal Southeast US.
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Updated Dec 21, 2019