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Topic: "conditional-normalizing-flows"

VinAIResearch/LFM

Official PyTorch implementation of the paper: Flow Matching in Latent Space

Language: Python - Size: 443 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 233 - Forks: 10

djosix/IconFlow 📦

Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.

Language: Python - Size: 57.6 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 1

honglinwen/Conditional-normalizing-flow-for-wind-power-forecasting

Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433

Language: Jupyter Notebook - Size: 786 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 20 - Forks: 3

christina-winkler/cnfs-super-resolution

Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.

Language: Python - Size: 10.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 19 - Forks: 4

slimgroup/WISER.jl

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction

Language: Julia - Size: 31.3 KB - Last synced at: 15 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

christina-winkler/clim-var-ds-cnf

This repository contains the code for climate variable downscaling using conditional normalizing flows. Work done during internship @ MILA AI Research. 🛰️

Language: Jupyter Notebook - Size: 71.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

slimgroup/WISE.jl

WISE: full-Waveform variational Inference via Subsurface Extensions

Language: Julia - Size: 23.9 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

steven112163/Deep-Learning-and-Practice

NCTU(NYCU) Deep Learning and Practice Spring 2021

Language: Python - Size: 36.7 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

csiro-funml/bacon

Bayesian adaptive calibration and optimal design (BACON) paper accepted at NeurIPS 2024

Language: Jupyter Notebook - Size: 4.58 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Related Topics
deep-learning 3 normalizing-flows 3 super-resolution 2 variational-inference 2 pytorch 2 uncertainty-quantification 2 bayesian-inference 2 full-waveform-inversion 2 conditional-gan 1 generative-models 1 latent-space 1 vision-transformer 1 active-learning 1 gaussian-processes 1 artificial-intelligence 1 automatic-colorization 1 colorization 1 computer-vision 1 continuous-normalizing-flows 1 cvpr 1 cvpr2022 1 image-colorization 1 machine-learning 1 normalizing-flow 1 sketch-colorization 1 u-net 1 cpp 1 cvae 1 ddpg 1 deep-convolutional-networks 1 dqn 1 eegnet 1 python3 1 reinforcement-learning 1 resnet 1 temporal-difference 1 generative-ai 1 probabilistic-forecasting 1 wind-power-forecasting 1 applied-deep-learning 1 climate-informatics 1 probabilistic-generative-model 1 diffusion-models 1 flow-matching 1