Abstract: Systems and methods describe providing deep learning-based detection of gravitational waves. In one embodiment, the system: trains a deep learning classifier using a first set of waveform data from GW detectors; applies the trained deep learning classifier to a second set of waveform data to identify candidate GW signals; generates an SNR ranking statistic from the output of the trained deep learning classifier; determines SNR rankings of the candidate GW signals using the generated SNR ranking statistic; evaluates the compatibility between candidate GW signals from different detectors by comparing arrival times and parameters of the candidate GW signals; estimates a plurality of detection significance scores associated with the candidate GW signals by analyzing clusters of identified candidate GW signals that pass or fail the compatibility evaluation; and outputs at least a subset of the identified GW signals based on their SNR rankings and detection significance scores.