25 skills found
RameenAbdal / StyleFlowStyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
VinAIResearch / LFMOfficial PyTorch implementation of the paper: Flow Matching in Latent Space
gudovskiy / Cflow AdOfficial PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
BorealisAI / Noise FlowNoise Flow: Noise Modeling with Conditional Normalizing Flows
5yearsKim / Conditional Normalizing FlowConditional Generative model (Normalizing Flow) and experimenting style transfer using this model
thoglu / Jammy FlowsA package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
hse-cs / ProbaformsConditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface
djosix / IconFlowCode for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
Hzzone / AgeFlowAgeFlow: Conditional Age Progression and Regression with Normalizing Flows (IJCAI 2021)
honglinwen / Conditional Normalizing Flow For Wind Power ForecastingCode for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433
blt2114 / CDE With BNFToy Examples of Conditional Density Estimation with Bayesian Normalizing flows
christina-winkler / Cnfs Super ResolutionMaster thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
MArpogaus / Bernstein FlowA normalizing flow using Bernstein polynomials for conditional density estimation.
hanlinwu / BlindSRSNFConditional Stochastic Normalizing Flows for Blind Super-Resolution of Remote Sensing Images
FabricioArendTorres / FlowConductor(Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.
AndrewAtanov / Semi Supervised Flow PytorchCode for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"
steven112163 / Deep Learning And PracticeNCTU(NYCU) Deep Learning and Practice Spring 2021
yandex-research / Distill NfCode for the paper: Distilling the Knowledge from Conditional Normalizing Flows
MilesCranmer / Easy Normalizing FlowSimple normalizing flow with a conditional variable of any size
luwo9 / GalacticFlowGalaxy morphology with conditional normalizing flows
