Official PyTorch implementation of the paper: Flow Matching in Latent Space
Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
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. 🛰️
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
WISE: full-Waveform variational Inference via Subsurface Extensions
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