elizavetasemenova

EmbracingUncertainty

Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"

prob-epi

Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at African Institute for Mathematical Sciences (AIMS)

gp_turing

PriorVAE

Code of PriorVAE: encoding spatial priors with variational autoencoders

BNN_tox

PPLs

ProbAI-2022

PriorCVAE

PyMCon2020

DeepLearningIndaba2022

gp_concentration_response

BayesianInferencePythonIntro

An introduction to Bayesian inference with Python using PyStan and PyMC3

elizavetasemenova.github.io

nn_in_R

SIAM2023_probabilistic_programming

SIAM 2023 Probabilistic Programming tutorial

elizavetasemenova

epiwrap

GeometricKernels

Geometric kernels on manifolds, meshes and graphs

gp-seminar-series.github.io

Seminar Series on Gaussian Process, Spatiotemporal Modeling, and Decision-making Systems

hugoblogdown

indaba-pracs-2023

Notebooks for the Practicals at the Deep Learning Indaba 2023.

INLA_examples

mechanistic_DILI

pi-vae

Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space

resources

PyMC3 educational resources

starter-hugo-research-group

👥 轻松创建研究组或组织网站 Create a stunning Research Group, Team, or Organization Website with Hugo

statrethinking_lectures_numpyro

Repository for working through Statistical Rethinking lectures using numpyro

tiddlywinks.jl

Turing.jl

The Turing language for probabilistic machine learning and Bayesian statistics

www.julialang.org

Julia Project website