mackelab

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

mackelab

Hidden Markov Models (HMMs) with tied states and autoregressive observations

mackelab

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

mackelab

Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.

mackelab

GATSBI: Generative Adversarial Training for Simulation-Based Inference

mackelab

Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)

mackelab

This repository contains research code for the preprint "Generating realistic neurophysiological time series with denoising diffusion probabilistic models".

mackelab

Gaussian process factor analysis with Poisson observations

mackelab

Combination of transformers and diffusion models for flexible all-in-one simulation-based inference

mackelab