  We have searched for anomalous events using 2,520 hours of archival
observations from Murriyang, CSIRO's Parkes radio telescope. These observations
were originally undertaken to search for pulsars. We used a machine-learning
algorithm based on ResNet and Uniform Manifold Approximation and Projection
(UMAP) in order to identify parts of the data stream that potentially contain
anomalous signals. Many of these anomalous events are radio frequency
interference, which were subsequently filtered using multibeam information. We
detected 202 anomalous events and provide their positions and event times. We
discuss the possibility that one of the events comes from radio emission from a
white dwarf star.The other events are currently of unknown type.
