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Lists (12)
Starred repositories
A framework for classifying rice field irrigation methods (AWD vs CF) and sowing practices (DSR vs PTR) using Sentinel-1/2 satellite time series and machine learning. Paper: https://arxiv.org/pdf/2…
This repository contains the classification module of the WorldCereal system.
An AI powered geospatial application that allows you to explore and visualize Earth science data using natural language.
GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation
Claude Code superpowers: core skills library
Python package for creating cloud-free mosaics from Sentinel-2 imagery, with flexible scene selection, multiple compositing methods, and state-of-the-art cloud masking via OmniCloudMask.
The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
GeeFlow - generate and process large-scale geospatial datasets with Google Earth Engine.
Full guide on claude tips and tricks and how you can optimise your claude code the best & strive to find every command possible even hidden ones!
https://www.nature.com/articles/s41597-025-04725-2
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
Save multichannel data from xarray datasets as videos to save up massive amounts of space
Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models
Welcome to NeuCo-Bench, a benchmarking framework for evaluating compressed embeddings on downstream tasks.
[GSRL] Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.
Spherical mercator tile and coordinate utilities
A toolkit for optimizing cloud GeoTIFF streaming in PyTorch. Achieves 20x throughput and 90% GPU utilization through optimized data loading and compression. Paper: https://arxiv.org/pdf/2506.06235
The simplest, highest-throughput Python interface to S3, GCS & Azure Storage, powered by Rust.