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Deep-Probabilistic-Models-Course
Deep-Probabilistic-Models-Course PublicDeep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021
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AutomaticDifferentiation-Workshop
AutomaticDifferentiation-Workshop PublicMaterial from Workshop on Automatic Differentiation (Autograd/Pytorch)
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simpleStochasticGradient
simpleStochasticGradient PublicSimple 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
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SpectralSubsamplingMCMC
SpectralSubsamplingMCMC PublicCode for the paper "Spectral Subsampling MCMC for Stationary Time Series", ICML 2020.
Python
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DeepRegressionEnsembles-CRISPRon
DeepRegressionEnsembles-CRISPRon PublicCode 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
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