5yearsKim / Conditional-Normalizing-Flow

Related projects: ⓘ

• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆115Updated last year
• MoeinSorkhei / glow2
  Full-Glow: Fully conditional Glow for more realistic image generation
  ☆25Updated 2 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆34Updated 4 years ago
• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆93Updated 4 years ago
• yolu1055 / conditional-glow
  Conditional-Glow for Structured Prediction
  ☆24Updated last year
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• zhifengkong / FastDPM_pytorch
  Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
  ☆79Updated 3 years ago
• ermongroup / alignflow
  ☆32Updated 4 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆143Updated 10 months ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆130Updated 2 years ago
• shirleyzhu233 / realNVP
  PyTorch implementation of realNVP
  ☆83Updated 2 weeks ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆27Updated 3 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆76Updated 3 months ago
• XuezheMax / wolf
  Invertible Generative Flows
  ☆81Updated 3 years ago
• j-min / PixelCNN
  PyTorch implementation of PixelCNN from "Pixel Recurrent Neural Networks"
  ☆38Updated 3 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆101Updated 2 years ago
• akandykeller / SelfNormalizingFlows
  ☆67Updated last year
• ChristophReich1996 / Dirac-GAN
  PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].
  ☆18Updated 3 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆79Updated 3 years ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆78Updated last year
• jiamings / d2c
  PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
  ☆120Updated 2 years ago
• GlassyWing / nvae
  An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
  ☆108Updated 3 years ago
• eitanrich / torch-mfa
  Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch
  ☆40Updated last year
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆80Updated 4 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆89Updated 3 years ago
• Kim-Dongjun / Soft-Truncation
  A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"
  ☆49Updated 2 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆38Updated last year
• DakshIdnani / pytorch-nice
  Implementation of non-linear independent components estimation (NICE) in pytorch
  ☆50Updated 4 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆194Updated 10 months ago