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Data and code for manuscript "Optimal disease surveillance with graph-based Active Learning"
OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"
A short course on Julia and open-source software development
An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
Bayesian Probabilistic Numerical Integration with Tree-Based Models (using Bayesian Additive Regression Trees)
Notebook for running Julia on Google Colab
Quantifying and reporting uncertainty in drug discovery predictions with probabilistic models
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
Gaussian Process and Uncertainty Quantification Summer School 2020
Infer.NET is a framework for running Bayesian inference in graphical models
Julia package for kernel functions for machine learning
Gaussian Process Optimization using GPy
Course material for the PhD course in Advanced Bayesian Learning
Code for modelling estimated deaths and cases for COVID19.
This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebreaker: Efficient Information Acquisition with Active Learnin…
Julia Workshop @ University of Oulu, Finnland
Bayesian inference with probabilistic programming.
Seminars DeepBayes Summer School 2018
Practical assignments of the Deep|Bayes summer school 2019
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
A simple probabilistic programming language.
A structured list of resources about Sum-Product Networks (SPNs)
Code Repo for "Subspace Inference for Bayesian Deep Learning"