OATML

bdl-benchmarks

Bayesian Deep Learning Benchmarks

causal-bald

deterministic-uncertainty-quantification

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

EVE

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

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

overcast

Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions

RHO-Loss

tfpyth

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

ucate

Uncertainty in Conditional Average Treatment Effect Estimation

OATML/bdl-benchmarks

Bayesian Deep Learning Benchmarks

OATML/non-parametric-transformers

Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"

OATML/oatomobile

A research framework for autonomous driving

OATML/RHO-Loss

OATML/EVE

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

OATML/ucate

Uncertainty in Conditional Average Treatment Effect Estimation

OATML/causal-bald

OATML/deterministic-uncertainty-quantification

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

OATML/overcast

Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions

OATML/tfpyth

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

OATML/BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

OATML/NPPT

Working code for non parametric protein transformer for bayesian optimisation

OATML/radial_bnn

Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning

OATML/snr_issues_in_deep_gps

On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes

OATML/clouds

Exploring the effects of aerosols on proxies for cloud reflectivity

OATML/quince

Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding