1 code implementation • 22 Nov 2021 • Braden Kronheim, Michelle P. Kuchera, Harrison B. Prosper, Raghuram Ramanujan
Reliable modeling of conditional densities is important for quantitative scientific fields such as particle physics.
1 code implementation • 30 Sep 2020 • Braden Kronheim, Michelle Kuchera, Harrison Prosper
TensorBNN is a new package based on TensorFlow that implements Bayesian inference for modern neural network models.