  Excess of gamma rays with a spherical morphology around the Galactic center
(GC) observed in the Fermi large area telescope (LAT) data is one of the most
intriguing features in the gamma-ray sky. The excess has been interpreted by
annihilating dark matter as well as emission from a population of unresolved
millisecond pulsars (MSPs). We use a multi-class classification of Fermi-LAT
sources with machine learning to study the distribution of MSP-like sources
among unassociated Fermi-LAT sources near the GC. We find that the source count
distribution of MSP-like sources is comparable with the MSP explanation of the
GC excess.
