David Nabergoj
davidnabergoj
PhD researcher | Machine Learning, Bayesian inference, Generative modeling
Languages
Top Repositories
Modern normalizing flows in Python. Simple to use and easily extensible.
Bootplot is a package for black-box uncertainty visualization.
Normalizing flow MCMC algorithms for statistical analyses and sampling.
Potential functions for sampling or optimization
NFMC benchmark and code for the paper: "Nabergoj and Štrumbelj. Empirical evaluation of normalizing flows in Markov Chain Monte Carlo, 2024."
Bijections & normalizing flows with JAX/NNX
Repositories
16Modern normalizing flows in Python. Simple to use and easily extensible.
Bootplot is a package for black-box uncertainty visualization.
Bijections & normalizing flows with JAX/NNX
No description provided.
Code for "Jiang, Nabergoj: Control, Transport and Sampling: Towards Better Loss Design (2024)".
No description provided.
Normalizing flow MCMC algorithms for statistical analyses and sampling.
Potential functions for sampling or optimization
Database with posteriors of interest for Bayesian inference
NFMC benchmark and code for the paper: "Nabergoj and Štrumbelj. Empirical evaluation of normalizing flows in Markov Chain Monte Carlo, 2024."
Repozitorij asistentskih materialov za predmet Bayesova statistika na magistrskem programu Uporabna Statistika (UL-FMF 2024/25)
File formats for social deduction game data
https://github.com/tparisi/webgl-lessons is now the officially maintained fork for this project
No description provided.
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.