georgestein/ml-in-cosmology
A comprehensive list of published machine learning applications to cosmology
This list compiles published research papers that use machine learning to tackle challenges in cosmology. It helps cosmologists and astrophysicists find relevant studies, understand the machine learning methods applied (like CNNs or Random Forests), and access the original papers via arXiv links. The list is organized by cosmological subject matter, such as large-scale structure or gravitational lensing, and includes a helpful dictionary of machine learning abbreviations.
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Use this if you are a cosmology researcher looking to quickly discover how machine learning techniques are being applied to specific areas of cosmological study, or if you need to find examples of particular machine learning methods in use within cosmology.
Not ideal if you are a machine learning practitioner looking for general machine learning tutorials or datasets that are not specifically curated for cosmology applications.
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