Pavel Izmailov

understandingbdl. Jupyter Notebook

flowgmm. Shell

spurious_feature_learning. Python

torch_swa_examples. Python

contrib_swa_examples. Python

bnn_covariate_shift. Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"

TTGP. Jupyter Notebook

neurips_bdl_starter_kit. Jupyter Notebook

gplib. Gaussian Process library for Machine Learning

rl-seminar. A supporting repository for our Reinforcement Learning student seminar

contrib. Implementations of ideas from recent papers