A wealth of information and code deploying AI/ML tools exists with applications across many areas of science. Those resources are often available via open-source repositories such as GitHub and NASA.code.gov. Information here supplements the other material on this site with descriptions and pointers to useful repository content. A particular focus is astrobiology-relevant projects.

LATEST ADDITIONS:

Code repository for project “A robust molecular biosignature based on machine learning applied to three-dimensional pyrolysis GC-MS data” by Cleaves et al. 2023 (see also Literature Review and https://www.pnas.org/doi/10.1073/pnas.2307149120). Deploys Random Forest technique.

DNN workflow for exoplanet atmospheric retrieval

https://spaceml.org/repo/project/5fca43c898c85e0011686a9d

An FDL 2018 astrobiology project to apply AI/ML techniques to atmospheric retrieval. A subset of the entire 3,000,000 synthetic Planetary Spectrum Generator spectra are provided for users to explore on their own.