Official Implementation of "Transformers Can Do Bayesian Inference"

Overview

Official Code for the Paper "Transformers Can Do Bayesian Inference"

We train Transformers to do Bayesian Prediction on novel datasets for a large variety of priors. For more info read our paper. You can play with our model in an interactive demo with a GP prior and compare it to the ground truth GP posterior, as described in the paper's section 5.1.

For insights into experiments, please see our notebooks folder. From where most experiments, besides some baselines are started.

Training the transformers can be quickly done for all tasks considered, but we still provide models for the tabular tasks as convenience to be able solve new tabular tasks out-of-the-box.

The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store development.

The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store dev

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