A Python framework for agent-based simulations of (radio) SETI observations
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Updated
Jan 30, 2019 - Python
A Python framework for agent-based simulations of (radio) SETI observations
Repository for studying extraterrestrial plant life and ecosystems, exploring the potential for agriculture, bioengineering, and terraforming on celestial bodies across the cosmos.
Calculate interstellar travel time for a solar sail
An End-to-End Deep Learning project for classifying SETI signals using Convolutional Neural Networks (CNNs), MLFlow and DVC.
Investigate the instances of extraterristrial sightings by creating a dynamic table to filter/sort the dataset based upon City, State, Date/time, etc.
Add a description, image, and links to the extraterrestrial topic page so that developers can more easily learn about it.
To associate your repository with the extraterrestrial topic, visit your repo's landing page and select "manage topics."