normalizing-flow

There are 38 repositories under normalizing-flow topic.

  • andreas128/SRFlow

    Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

    Language:Jupyter Notebook8247040112

  • VincentStimper/normalizing-flows

    PyTorch implementation of normalizing flow models

    Language:Python622133996

  • JingyunLiang/HCFlow

    Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

    Language:Python186121428
  • InvertibleNetworks.jl

    slimgroup/InvertibleNetworks.jl

    A Julia framework for invertible neural networks

    Language:Julia147122520

  • senya-ashukha/real-nvp-pytorch

    Real NVP PyTorch a Minimal Working Example | Normalizing Flow

    Language:Jupyter Notebook1323027

  • cics-nd/pde-surrogate

    Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

    Language:Python1288249

  • 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:Python823111

  • cfinlay/ffjord-rnode

    Regularized Neural ODEs (RNODE)

    Language:Python802515

  • li012589/NeuralRG

    Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.

    Language:Python789021

  • lollcat/fab-torch

    Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.

    Language:Python392256

  • HeSunPU/DPI

    Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

    Language:Jupyter Notebook29328

  • StatMixedML/DGBM

    Distributional Gradient Boosting Machines

    25721

  • djosix/IconFlow

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

    Language:Python23201

  • for0nething/FACE-A-Normalizing-Flow-based-Cardinality-Estimator

    A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator

    Language:Python20106

  • e-hulten/maf

    PyTorch implementation of the Masked Autoregressive Flow

    Language:Python19235

  • abdulfatir/planar-flow-pytorch

    Pytorch implementation of Planar Flow

    Language:Jupyter Notebook183114

  • jackgoffinet/ffjord-lite

    A minimal working example of Free-Form Jacobian of Reversible Dynamics

    Language:Python12413

  • davidnabergoj/normalizing-flows

    Modern normalizing flows in Python. Simple to use and easily extensible.

    Language:Python91

  • dongheehand/unsplash2K

    Unsplash2K dataset: 2K resolution high quality images

    9200

  • 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:Python9101

  • dsshim0125/FS-NCSR

    "FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow" (CVPRW 2022)

    Language:Python8201

  • FabricioArendTorres/FlowConductor

    (Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.

    Language:Python7300

  • opeco17/normalizing_flow

    TensorFlow implementation of Normalizing Flow

    Language:Python7300

  • YeongHyeon/Normalizing-Flow-TF2

    TensorFlow implementation of "Variational Inference with Normalizing Flows"

    Language:Python720

  • NREL/Phase-space-sampling

    Reduce a large and high-dimensional dataset by downselecting data uniformly in phase space

    Language:Python5623

  • 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 Notebook3100

  • S-razmi/Real_NVP

    Implementing Real-NVP from Scratch in Pytorch

    Language:Jupyter Notebook30

  • 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 Notebook2100

  • revsic/tf-survae-flows

    Tensorflow implementation of SurVAE Flows, Nielsen et al., 2020.

    Language:Jupyter Notebook230

  • robert-giaquinto/survae_flows

    Extending the SurVAE Flows library to super-resolution, compressive, gradient boosted, and conditional flows.

    Language:Python2100

  • sezaiacers/glow

    This is clean implementation of paper "Glow: Generative Flow with Invertible 1x1 Convolutions" in pytorch.

    Language:Python2100

  • b-thorne/XSample

    Speeding up sampling

    Language:Python1200

  • bghojogh/Density-Based-Classifiers

    The code of GMM and MAF classifiers

    Language:Python1110

  • e-hulten/real-nvp-2d

    PyTorch implementation of Real NVP for density estimation

    Language:HTML1200

  • vrvrv/Variational-Inference-with-Normalizing-Flows

    Unofficial Pytorch Lightning implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015]

    Language:Python1102

  • sverdoot/ex2mcmc_new

    Local-Global MCMC kernels: the best of both worlds (NeurIPS 2022)

    Language:Jupyter Notebook0000