Earth observation processing framework for machine learning in Python

IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"

Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Create virtual Zarr stores from archival data files using xarray syntax

A package built to support working with spatial data using open source python

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

PyTorch implementation of SatCLIP

http://arxiv.org/pdf/2404.11302 - A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching - Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini

LLM Chain for answering questions from documents with citations

🎀 Awesome Zarr resources

A minimal GPU design in Verilog to learn how GPUs work from the ground up

Yao, Jing, Danfeng Hong, Chenyu Li, and Jocelyn Chanussot. "SpectralMamba: Efficient Mamba for Hyperspectral Image Classification." arXiv preprint arXiv:2404.08489, 2024.

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Minimalist ML framework for Rust

This is the official repository for Flatburn: the open source City Scanner

Hybrid ML + physics model of the Earth's atmosphere

🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)

OCR, layout analysis, reading order, line detection in 90+ languages

SDK for creating whiteboards and canvas experiences on the web.

A performant binary encoding for geographic data based on flatbuffers

A Python library for fast, interactive geospatial vector data visualization in Jupyter.

Vectorized vector I/O using OGR

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Adding language to Clay

The Clay Foundation Model (in development)

A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀

A simple self-hosted web server for creating and managing an avalanche forecast for a region, along with accepting public observations.