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🛰️ GeoAI.js is a javascript library for use with transformers.js to perform GeoAI on the frontend
GoldenEye is a library of geospatial vision-language models -- run any geospatial VLM in three lines of code
Beautiful, visual bases views for Obsidian
A unified PyTorch framework for semantic segmentation of satellite imagery. Supports multi-spectral data, state-of-the-art architectures, and seamless large-scale inference for Earth Observation ap…
Canopy Height Estimation at very High Resolution
Turn Obsidian into a time-aware planning system: automatic periodic notes + time budgets that make trade-offs visible.
Cloud removal from multi-temporal satellite images using axial transformer networks
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images
An in terminal youtube music client with focus on privacy, simplicity and performance
Geospatial Studio Platform - core backend and services
An improved Python Geographical Random Forest model
One-line tensor visualization for PyTorch, JAX and NumPy
This repo holds the whole code to reproduce the research performed in the FFG-project "Habitalp 2.0"
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
Code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"
Scikit-learn applied to mapping and spatial prediction
A curated list of papers that focus on how to represent Earth data in embedding space — spatial, temporal, or semantic — and how those embeddings behave or are applied.
This repository contains the official implementation of the paper "LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping".
An AI powered geospatial application that allows you to explore and visualize Earth science data using natural language.
A cluster computing framework for processing large-scale geospatial data