Projects in Awesome Lists tagged with normalizing-flow
A curated list of projects in awesome lists tagged with normalizing-flow .
https://github.com/andreas128/srflow
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
image-manipulation normalizing-flow paper super-resolution
Last synced: 13 Apr 2025
https://github.com/VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
density-estimation glow invertible-neural-networks neural-spline-flow normalizing-flow pytorch real-nvp residual-flow variational-autoencoder variational-inference
Last synced: 11 May 2025
https://github.com/andreas128/SRFlow
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
image-manipulation normalizing-flow paper super-resolution
Last synced: 27 Mar 2025
https://github.com/jingyunliang/hcflow
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
face-image-super-resolution flow iccv2021 image-rescaling image-sr image-super-resolution normalizing-flow super-resolution
Last synced: 19 Dec 2024
https://github.com/slimgroup/invertiblenetworks.jl
A Julia framework for invertible neural networks
bayesian-inference deep-invertible-networks deep-learning invertible-1x1-convolutions invertible-neural-networks julia julia-language machine-learning normalizing-flow normalizing-flows
Last synced: 12 Apr 2025
https://github.com/slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
bayesian-inference deep-invertible-networks deep-learning invertible-1x1-convolutions invertible-neural-networks julia julia-language machine-learning normalizing-flow normalizing-flows
Last synced: 27 Mar 2025
https://github.com/senya-ashukha/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
deep-learning density-estimation nf normalizing-flow normalizing-flows pytorch real-nvp
Last synced: 14 May 2025
https://github.com/hongyehu/RG-Flow
This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029
computer-vision generative-model hierarchical-models normalizing-flow renormalization-group representation-learning sparse-coding
Last synced: 23 Nov 2024
https://github.com/LowLevelAI/GLARE
Official implementation of GLARE, which is accpeted by ECCV 2024.
codebook eccv24 low-light-image-enhancement normalizing-flow
Last synced: 05 Mar 2025
https://github.com/li012589/NeuralRG
Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
ising-model normalizing-flow pytorch renormalization-group
Last synced: 23 Nov 2024
https://github.com/lollcat/fab-torch
Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
annealed-importance-sampling boltzmann-distribution boltzmann-generator normalizing-flow
Last synced: 27 Mar 2025
https://github.com/statmixedml/dgbm
Distributional Gradient Boosting Machines
decision-trees distributional-regression gradient-boosting lightgbm machine-learning normalizing-flow probabilistic-modeling quantile-estimation uncertainty-quantification xgboost
Last synced: 25 Mar 2025
https://github.com/djosix/iconflow
Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
artificial-intelligence automatic-colorization colorization computer-vision conditional-normalizing-flows continuous-normalizing-flows cvpr cvpr2022 deep-learning image-colorization machine-learning normalizing-flow sketch-colorization u-net
Last synced: 26 Apr 2025
https://github.com/abdulfatir/planar-flow-pytorch
Pytorch implementation of Planar Flow
normalizing-flow variational-autoencoder
Last synced: 05 May 2025
https://github.com/davidnabergoj/torchflows
Modern normalizing flows in Python. Simple to use and easily extensible.
density-estimation generative-model machine-learning normalizing-flow python pytorch sampling
Last synced: 10 Apr 2025
https://github.com/yeonghyeon/normalizing-flow-tf2
TensorFlow implementation of "Variational Inference with Normalizing Flows"
distribution mnist mnist-dataset normalizing-flow tensorflow tensorflow2 variational-inference
Last synced: 26 Apr 2025
https://github.com/fabricioarendtorres/flowconductor
(Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.
bijective-maps flow neural-network normalizing normalizing-flow python pytorch
Last synced: 21 Mar 2025
https://github.com/minaskar/sinflow
Sliced Iterative Normalizing Flow with Minimal Dependencies
density-estimation machine-learning normalizing-flow normalizing-flows numpy sampling scikit-learn scipy spline splines
Last synced: 01 Dec 2024
https://github.com/davidnabergoj/nfmc-nf-evaluation
NFMC benchmark and code for the paper: "Nabergoj and Štrumbelj. Empirical evaluation of normalizing flows in Markov Chain Monte Carlo, 2024."
arxiv bayesian-inference benchmark implementation markov-chain-monte-carlo mcmc normalizing-flow paper pytorch reproducibility sampling simulation slurm statistical-analysis variational-inference
Last synced: 18 Feb 2025
https://github.com/revsic/tf-survae-flows
Tensorflow implementation of SurVAE Flows, Nielsen et al., 2020.
diffusion normalizing-flow survae-flows tensorflow tf2 vae
Last synced: 23 Mar 2025
https://github.com/louis-alexandre-laguet/realnvp
This repository implements REAL NVP (Real-valued Non-Volume Preserving), a normalizing flow model that uses coupling layers to transform complex data into a simpler distribution, like a Gaussian. It efficiently reconstructs realistic data from a normal distribution without iterative steps, making inference fast.
ai deep-learning generative-models normalizing-flow real-nvp
Last synced: 05 Apr 2025
