stefanradev93

bayesflow

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

JANA-Paper

Contains the code accompanying the paper "JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models"

Neural-Superstatistics

Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dynamic Models of Cognition".

dynamic_ddm

awesome-neural-sbi

Community-sourced list of papers and resources on neural simulation-based inference.

AIAgainstCorona

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

AML

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

cINN

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

DataSizeMatters

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

fast-dm-gui

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

stefanradev93/cINN

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

stefanradev93/DataSizeMatters

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

stefanradev93/AIAgainstCorona

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

stefanradev93/fast-dm-gui

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

stefanradev93/AML

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

stefanradev93/lie-detect

A basic lie-detection experiment

stefanradev93/DBN

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

stefanradev93/machine_learning_examples

A collection of machine learning examples and tutorials.

stefanradev93/siriwavejs

The Siri wave replicated in a JS library.

stefanradev93/awesome-neural-sbi-patch

Community-sourced list of papers and resources on neural simulation-based inference.

stefanradev93/BayesCorona

Contains code for estimation of epidemiology models

stefanradev93/ComputationalASD

Contains modeling code for a computational model of emotion recognition in ASD

stefanradev93/covid19_inference_forecast

stefanradev93/iba-cocktails

International Bartenders Association (IBA) Official Cocktails in machine readable format

stefanradev93/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

stefanradev93/JavaIWS

Contains the code for the Software Engineering lecture, winter term 2019/2020.

stefanradev93/LawUAI

Contains the code for our attention-based seq2seq and classifier models, as well as the preliminary Django-UI.

stefanradev93/LCA_Checkpoint

Contains the checkpoint for the networks used in the BayesFlow tutorial "Principled Bayesian workflow for cognitive models"

stefanradev93/ml2017hd

Contains the code for our Machine Learning Project.

stefanradev93/pyABC

distributed, likelihood-free inference

stefanradev93/pygame-starts-effect

A nice effect of a star-laden sky built with python and pygame.

stefanradev93/Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

stefanradev93/tensorflow_speech_recognition_demo

This is the code for 'How to Make a Simple Tensorflow Speech Recognizer' by @Sirajology on Youtube