Topic: "normalizing-flow"
andreas128/SRFlow
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Language: Jupyter Notebook - Size: 856 KB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 837 - Forks: 110
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
Language: Python - Size: 7.44 MB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 823 - Forks: 123
JingyunLiang/HCFlow
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
Language: Python - Size: 2.24 MB - Last synced at: 23 days ago - Pushed at: over 3 years ago - Stars: 191 - Forks: 28
slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
Language: Julia - Size: 2.11 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 164 - Forks: 24
senya-ashukha/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 29 days ago - Pushed at: over 4 years ago - Stars: 138 - Forks: 27
LowLevelAI/GLARE
Official implementation of GLARE, which is accpeted by ECCV 2024.
Language: Python - Size: 3.44 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 104 - Forks: 4
cics-nd/pde-surrogate
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Language: Python - Size: 3.17 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 90 - Forks: 41
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
Language: Python - Size: 85.5 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 85 - Forks: 12
li012589/NeuralRG
Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
Language: Python - Size: 365 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 79 - Forks: 22
cfinlay/ffjord-rnode
Regularized Neural ODEs (RNODE)
Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 67 - Forks: 13
lollcat/fab-torch
Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
Language: Python - Size: 266 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 57 - Forks: 6
mulns/PerVFI
Official code base of "Perception-Oriented Video Frame Interpolation via Asymmetric Blending" (CVPR 2024), also denoted as ''PerVFI''.
Language: Python - Size: 5.28 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 52 - Forks: 5
StatMixedML/DGBM
Distributional Gradient Boosting Machines
Size: 169 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 1
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: 5 days ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 1
HeSunPU/DPI
Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
Language: Jupyter Notebook - Size: 6.7 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 22 - Forks: 8
for0nething/FACE-A-Normalizing-Flow-based-Cardinality-Estimator
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
Language: Python - Size: 6.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 4
e-hulten/maf
PyTorch implementation of the Masked Autoregressive Flow
Language: Python - Size: 6.13 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 2
abdulfatir/planar-flow-pytorch
Pytorch implementation of Planar Flow
Language: Jupyter Notebook - Size: 183 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 14
dongheehand/unsplash2K
Unsplash2K dataset: 2K resolution high quality images
Size: 266 KB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 0
davidnabergoj/torchflows
Modern normalizing flows in Python. Simple to use and easily extensible.
Language: Python - Size: 1.01 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 11 - Forks: 2
FabricioArendTorres/FlowConductor
(Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.
Language: Python - Size: 1.99 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 10 - Forks: 1
jackgoffinet/ffjord-lite
A minimal working example of Free-Form Jacobian of Reversible Dynamics
Language: Python - Size: 435 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 3
YeongHyeon/Normalizing-Flow-TF2
TensorFlow implementation of "Variational Inference with Normalizing Flows"
Language: Python - Size: 81.7 MB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 0
manhph2211/ViTTS
In this repo, I developed a step-by-step pipeline for a standard MultiSpeaker Text-to-Speech system :smile: In general, I used Portaspeech as an acoustic model and iSTFTNet as vocoder...
Language: Python - Size: 768 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0
opeco17/normalizing_flow
TensorFlow implementation of Normalizing Flow
Language: Python - Size: 29.3 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 0
minaskar/sinflow
Sliced Iterative Normalizing Flow with Minimal Dependencies
Language: Python - Size: 304 KB - Last synced at: 29 days ago - Pushed at: 5 months ago - Stars: 6 - Forks: 0
NREL/Phase-space-sampling
Reduce a large and high-dimensional dataset by downselecting data uniformly in phase space
Language: Python - Size: 33.4 MB - Last synced at: 8 days ago - Pushed at: 12 months ago - Stars: 5 - Forks: 10
dsshim0125/FS-NCSR
"FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow" (CVPRW 2022)
Language: Python - Size: 3.36 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1
florence-bockting/elicit
Expert knowledge elicitation method for learning prior distribution in Bayesian models based on expert knowledge.
Language: Python - Size: 1.52 GB - Last synced at: about 13 hours ago - Pushed at: 2 months ago - Stars: 4 - Forks: 2
davidnabergoj/nfmc-nf-evaluation
NFMC benchmark and code for the paper: "Nabergoj and Å trumbelj. Empirical evaluation of normalizing flows in Markov Chain Monte Carlo, 2024."
Language: Jupyter Notebook - Size: 428 KB - Last synced at: 22 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
robert-giaquinto/survae_flows Fork of didriknielsen/survae_flows
Extending the SurVAE Flows library to super-resolution, compressive, gradient boosted, and conditional flows.
Language: Python - Size: 4.46 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
fangyuan-ksgk/Normalizing-Flows
This repository contains examples of simple implementation of NF. Normalizing Flows are generative models which produce tractable distributions where both sampling and density evaluation can be efficient and exact.
Language: Jupyter Notebook - Size: 273 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
revsic/tf-survae-flows
Tensorflow implementation of SurVAE Flows, Nielsen et al., 2020.
Language: Jupyter Notebook - Size: 806 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
sezaiacers/glow
This is clean implementation of paper "Glow: Generative Flow with Invertible 1x1 Convolutions" in pytorch.
Language: Python - Size: 262 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
nitzanlab/prototype-equivalences
The official implementation of smooth prototype equivalences (SPE), used to classify and characterize observations from empirical vector field data.
Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0
bghojogh/Density-Based-Classifiers
The code of GMM and MAF classifiers
Language: Python - Size: 96.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
vrvrv/Variational-Inference-with-Normalizing-Flows
Unofficial Pytorch Lightning implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015]
Language: Python - Size: 134 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 2
b-thorne/XSample
Speeding up sampling
Language: Python - Size: 3.01 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
e-hulten/real-nvp-2d
PyTorch implementation of Real NVP for density estimation
Language: HTML - Size: 76.2 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
andreasfloros/trustworthy-super-resolution
Trustworthy Image Super-Resolution via Generative Pseudoinverse [ICLR 2025 DeLTa Workshop]
Language: Python - Size: 198 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
S-razmi/Real_NVP
Implementing Real-NVP from Scratch in Pytorch
Language: Jupyter Notebook - Size: 7.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
pfilo8/TreeFlow
This repository contains the code and resources related to the research paper titled "TreeFlow: Going Beyond Tree-based Parametric Probabilistic Regression" by Patryk Wielopolski and Maciej Zięba. The paper is published in 26th European Conference on Artificial Intelligence ECAI 2023.
Language: Jupyter Notebook - Size: 5.21 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sverdoot/ex2mcmc_new Fork of svsamsonov/ex2mcmc_new
Local-Global MCMC kernels: the best of both worlds (NeurIPS 2022)
Language: Jupyter Notebook - Size: 68.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
