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$\texttt{BilbyFlow}$: user-friendly neural posterior estimation for gravitational-wave astronomy
Bayesian inference plays a central role in the new field of gravitational-wave astronomy. However, traditional Bayesian inference with stochastic samplers is computationally expensive, taking hours to days per event. Transformative changes are therefore required to enable the science of next-generat
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