Discover stefanradev93/AIAgainstCorona Open Source project

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stefanradev93

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Contains the code for reproducing the results and figures from the paper "Model-based Bayesian inference of disease outbreaks with invertible neural networks"

BayesFlow

A Python library for amortized Bayesian workflows using generative neural networks.

Python

304

cINN

Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"

Jupyter Notebook

DataSizeMatters

Contains the scripts, pre-trained networks, and data for our paper:

Jupyter Notebook

fast-dm-gui

A python-based graphical user interface for Windows users of fast-dm - a diffusion model analysis tool.

Python

AML

This repository contains the code for our final project for the lecture "Advanced Machine Learning" at Heidelberg University.

Jupyter Notebook

lie-detect

A basic lie-detection experiment

CSS

DBN

Contains the code for fitting the Dynamic Bayesian Network (DBN) to Wisconsin Card Sorting Task (WCST) data.

Jupyter Notebook

stefanradev93/AIAgainstCorona

stefanradev93

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