There are 2 repositories under conditional-normalizing-flows topic.
Official PyTorch implementation of the paper: Flow Matching in Latent Space
Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433
NCTU(NYCU) Deep Learning and Practice Spring 2021
This repository contains the code for climate variable downscaling using conditional normalizing flows. Work done during internship @ MILA AI Research. 🛰️
Bayesian adaptive calibration and optimal design (BACON) paper accepted at NeurIPS 2024