OATML's repositories
bdl-benchmarks
Bayesian Deep Learning Benchmarks
non-parametric-transformers
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
oatomobile
A research framework for autonomous driving
deterministic-uncertainty-quantification
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
radial_bnn
Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
snr_issues_in_deep_gps
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
clouds
Exploring the effects of aerosols on proxies for cloud reflectivity
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