Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851.
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Updated
Jun 7, 2024 - Jupyter Notebook
Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851.
🛰 Hubble Protocol common npm packages
Hubble SDK for in-product surveys & more
A comprehensive guide to deploying and managing Cilium as a CNI provider in Kubernetes, covering eBPF, security, observability, cluster mesh, and routing modes
Install hubble-ui on GKE Dataplane V2
Shear measurement pipeline for HST NIR weak lensing project
Subtract H I Lyman-alpha and O I airglow emission from HST-COS G130M spectra and reconstruct stellar emission profiles.
Data analysis of HST far-UV spectra
The aim of this Bachelor's degree final thesis is to investigate the basics of Deep Learning and to dig into the neuronal networks in order to apply them to the morphological classification of distant galaxies according to their visual appearance and the detention of these galaxies' edges. For it, I used Python language along with the Deep Learn…
Tool to register microservices. This project is based on the Service Discovery architecture pattern
Add a description, image, and links to the hubble topic page so that developers can more easily learn about it.
To associate your repository with the hubble topic, visit your repo's landing page and select "manage topics."