Implementation of the Aurora model for atmospheric forecasting

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

OpenET Landsat LST sharpening

The Clay Foundation Model (in development)

Dynamically create image chips from STAC items

This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.

Pytorch implementation of the Cross-HL attention transformer model

Converts a polygon into a set of geohashes with arbitrary precision.

Interactively explore unstructured datasets from your dataframe.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

An Xarray extension for Google Earth Engine

Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine

OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Gallery of OSMnx tutorials, usage examples, and feature demonstations.

Segment Anything in High Quality [NeurIPS 2023]

Build vector tilesets from large collections of GeoJSON features.

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

This repository contains demos I made with the Transformers library by HuggingFace.

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries