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Maxar Puerto Rico
- Rio Piedras
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15:20
(UTC -04:00) - https://orcid.org/0000-0001-8620-2479
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🪐 ✨ Model Context Protocol (MCP) Server for Jupyter.
Malloy is a modern open source language for describing data relationships and transformations.
Some data analysis tools for working with historical PV solar time-series data sets.
A lightweight local first SQL analytics tool. Get your data 🦆 in a row
Go implementation of the Data At Rest Encryption (DARE) format.
Analytics, Versioning and ETL for multimodal data: video, audio, PDFs, images
Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
Code repository for creating and maintaining the Ground-Mounted Solar Energy in the United States (GM-SEUS) spatiotemporal dataset of solar arrays and panel-rows using existing datasets, machine le…
Open Source Alternative to Vercel, Netlify and Heroku.
Book repository for The Turing Way: a how to guide for reproducible, ethical and collaborative data science
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
A list of STAC endpoints for the AWS Open Data Program
TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.
MCP server for DuckDB and MotherDuck
Nationwide houseshold-level solar panel identification with deep learning
Official repository for Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation. (DINOv3)
A Python package for installing commonly used packages for geospatial analysis and machine learning with only one command.
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The data store is used to access datasets from the Zenodo API
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
Describes raster assets at band level (one or multiple) with specific information such as data type, unit, number of bits used, nodata.
Adds fields to define authentication or authorization flows used to access Assets and Links behind security
Connect titiler to STAC APIs