gpapamak

distrax

bayesian_neural_networks_demo

A demo of Bayesian neural networks, using SVI and HMC.

distilling_intractable_generative_models

Code for paper "Distilling Intractable Generative Models".

distilling_model_knowledge

The code from my MSc thesis at the University of Edinburgh.

epsilon_free_inference

Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"

gsrpca

Implementation and demo of the GSRPCA algorithm.

maf

Masked Autoregressive Flow

mlpr_tutorials

My demos for the MLPR tutorials at the University of Edinburgh.

snl

Sequential Neural Likelihood

stochastic_optimization_comparison

Comparison of modern stochastic optimization algorithms.

gpapamak/maf

Masked Autoregressive Flow

gpapamak/snl

Sequential Neural Likelihood

gpapamak/epsilon_free_inference

Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"

gpapamak/bayesian_neural_networks_demo

A demo of Bayesian neural networks, using SVI and HMC.

gpapamak/stochastic_optimization_comparison

Comparison of modern stochastic optimization algorithms.

gpapamak/distilling_model_knowledge

The code from my MSc thesis at the University of Edinburgh.

gpapamak/mlpr_tutorials

My demos for the MLPR tutorials at the University of Edinburgh.

gpapamak/distilling_intractable_generative_models

Code for paper "Distilling Intractable Generative Models".

gpapamak/gsrpca

Implementation and demo of the GSRPCA algorithm.