seai-lab / TorchSpatialLinks
TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).
☆154Updated 2 months ago
Alternatives and similar repositories for TorchSpatial
Users that are interested in TorchSpatial are comparing it to the libraries listed below
Sorting:
- ☆193Updated 8 months ago
- A toolkit that enables building damage assessments from remotely sensed imagery.☆140Updated last week
- ☆132Updated last year
- This package is a one-stop solution for downloading, cleaning, analyzing street view imagery☆156Updated last month
- This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellit…☆303Updated 3 months ago
- Datasets to protect Earth's forests and biodiversity☆98Updated 7 months ago
- Dataset download instructions.☆39Updated last year
- Towards Robust Evaluation for Geospatial Foundation Models☆239Updated 5 months ago
- GeeFlow - generate and process large-scale geospatial datasets with Google Earth Engine.☆102Updated last month
- ☆63Updated last year
- GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning☆32Updated 11 months ago
- PyTorch implementation of SatCLIP☆346Updated 6 months ago
- ☆122Updated last year
- A network-based python package to understand and model urban complexity☆169Updated last month
- ☆178Updated 2 months ago
- ☆79Updated last year
- ☆25Updated 2 years ago
- A game theory approach to measuring spatial effects from machine learning models.☆164Updated this week
- The official repository for the EuroCrops dataset.☆202Updated 5 months ago
- Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifyi…☆207Updated 5 months ago
- An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery☆51Updated last month
- GEO-Bench: Toward Foundation Models for Earth Monitoring☆167Updated 5 months ago
- TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.☆197Updated this week
- ☆260Updated 3 months ago
- download Google Earth Engine datasets to tiles as geotiff arrays☆74Updated 9 months ago
- Geospatial Image Labeling Tool (GeoVision Labeler)☆73Updated 4 months ago
- Repo for testing foundation models☆55Updated last year
- An improved Python Geographical Random Forest model☆52Updated 4 months ago
- ☆32Updated last year
- ☆28Updated 8 months ago