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
☆46Updated 3 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:
- This repository contains the classification module of the WorldCereal system.☆56Updated this week
- Hydro -- A Foundation Model for Water in Satellite Imagery☆57Updated 7 months ago
- ☆57Updated last year
- download Google Earth Engine datasets to tiles as geotiff arrays☆69Updated 6 months ago
- A toolkit that enables building damage assessments from remotely sensed imagery.☆132Updated 5 months ago
- Earth observation framework for scaled-up processing in Python☆45Updated 5 months ago
- OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.☆91Updated this week
- Tutorial describing how to run SAM2 on a geotiff-file and export the resulting masks to a georeferenced geopackage vector file☆20Updated 7 months ago
- Contains implementations of data-centric approaches for improving semantic segmentation on satellite imagery.☆42Updated 5 months ago
- GeeFlow - generate and process large-scale geospatial datasets with Google Earth Engine.☆83Updated 2 months ago
- Code for running baseline models/experiments with the Fields of The World dataset☆95Updated last week
- Earth Observation Data Analysis Library☆99Updated 5 months ago
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.☆49Updated last week
- Dynamically create image chips from STAC items☆34Updated last week
- Adding language to Clay☆14Updated last year
- UKIS Cloud Shadow MASK☆51Updated 2 months ago
- Near Real Time monitoring of satellite image time-series☆73Updated last month
- End-to-end workflow for generating high resolution cropland maps☆109Updated 3 weeks ago
- Google Earth Engine Feature Collections via Dask Dataframes☆66Updated 6 months ago
- STAC Machine Learning Model (MLM) Extension to describe ML models, their training details, and inference runtime requirements.☆54Updated last week
- MapMiner is a powerful tool designed to efficiently extract and process geospatial data from various sources. Leveraging advanced technol…☆43Updated last week
- PlotToSat can extract time-series from Sentinel-1 and Sentinel-2 at multiple to thousands of plots (circular regions)☆28Updated 3 months ago
- Super-resolution of 10 Sentinel-2 bands to 5-meter resolution, starting from L1C or L2A (Theia format) products.☆98Updated 5 months ago
- Scikit-learn applied to mapping and spatial prediction☆39Updated last week
- Collection of TensorFlow 2.0 code for Earth Observation applications☆93Updated 2 years ago
- The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating add…☆94Updated 5 months ago
- Time series Fusion toolbox integrated with openEO☆27Updated 7 months ago
- A survey of use cases and current data schemas for vector embeddings in geoparquet☆23Updated last year
- The 🌏 data science library you've been waiting for~☆84Updated last year
- This is the official repository for the online course 'Cubes & Clouds'☆43Updated 2 weeks ago