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1. Deep-Probabilistic-Models-Course Deep-Probabilistic-Models-Course Public

   Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021

   Jupyter Notebook 10 5

2. AutomaticDifferentiation-Workshop AutomaticDifferentiation-Workshop Public

   Material from Workshop on Automatic Differentiation (Autograd/Pytorch)

   Jupyter Notebook 2 1

3. simpleStochasticGradient simpleStochasticGradient Public

   Simple class-based Python implementation of stochastic gradient methods - RADAM, ADAM, ADADELTA, and SGD (with momentum). Easy to plug into and use for Stochastic Gradient Variational Inference.

   Python 3

4. NS-SMC NS-SMC Public

   Code for Phase Transition experiment in "Unbiased and Consistent Nested Sampling via Sequential Monte Carlo" by Salomone et al., (2023)

   MATLAB 1

5. SpectralSubsamplingMCMC SpectralSubsamplingMCMC Public

   Code for the paper "Spectral Subsampling MCMC for Stationary Time Series", ICML 2020.

   Python

6. DeepRegressionEnsembles-CRISPRon DeepRegressionEnsembles-CRISPRon Public

   Code for simple implementation of Deep Ensembles (Lakshminarayanan et al., 2017) for uncertainty quantification in the GLM with univariate response setting (Normal, Beta, or Gamma), and implementat…

   Jupyter Notebook