microsoft / pytorch-cloud-geotiff-optimizationLinks
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
☆51Updated 5 months ago
Alternatives and similar repositories for pytorch-cloud-geotiff-optimization
Users that are interested in pytorch-cloud-geotiff-optimization are comparing it to the libraries listed below
Sorting:
- Hydro -- A Foundation Model for Water in Satellite Imagery☆57Updated 10 months ago
- Earth observation framework for scaled-up processing in Python☆45Updated 2 months ago
- This repository contains the classification module of the WorldCereal system.☆78Updated this week
- Earth Observation Data Analysis Library☆99Updated 8 months ago
- OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.☆108Updated last month
- ☆60Updated last year
- Code for running baseline models/experiments with the Fields of The World dataset☆111Updated this week
- A toolkit that enables building damage assessments from remotely sensed imagery.☆140Updated last month
- STAC Machine Learning Model (MLM) Extension to describe ML models, their training details, and inference runtime requirements.☆55Updated this week
- Dynamically create image chips from STAC items☆33Updated last week
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.☆58Updated 3 weeks ago
- Google Earth Engine Feature Collections via Dask Dataframes☆66Updated 8 months ago
- download Google Earth Engine datasets to tiles as geotiff arrays☆73Updated 8 months ago
- Manage, search, and download Earth Observation data with Φ-down from Copernicus missions with ease and efficiency.☆81Updated last week
- GeeFlow - generate and process large-scale geospatial datasets with Google Earth Engine.☆99Updated 3 weeks ago
- MapMiner is a powerful tool designed to efficiently extract and process geospatial data from various sources. Leveraging advanced technol…☆45Updated last week
- Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing…☆38Updated 5 months ago
- Adding language to Clay☆13Updated last year
- UKIS Cloud Shadow MASK☆51Updated 4 months ago
- The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating add…☆98Updated 7 months ago
- End-to-end workflow for generating high resolution cropland maps☆110Updated last month
- Tutorial describing how to run SAM2 on a geotiff-file and export the resulting masks to a georeferenced geopackage vector file☆20Updated 10 months ago
- Contains implementations of data-centric approaches for improving semantic segmentation on satellite imagery.☆55Updated 7 months ago
- The 🌏 data science library you've been waiting for~☆85Updated last year
- Python package for creating cloud-free mosaics from Sentinel-2 imagery, with flexible scene selection, multiple compositing methods, and …☆31Updated 4 months ago
- A survey of use cases and current data schemas for vector embeddings in geoparquet☆26Updated last year
- PlotToSat can extract time-series from Sentinel-1 and Sentinel-2 at multiple to thousands of plots (circular regions)☆33Updated 2 months ago
- Near Real Time monitoring of satellite image time-series☆74Updated 4 months ago
- ☆25Updated 8 months ago
- A Python package to super-resolve Sentinel-2 satellite imagery up to 2.5 meters.☆60Updated 5 months ago