Alternatives and similar repositories for Wavelet-Flow

Users that are interested in Wavelet-Flow are comparing it to the libraries listed below

• akandykeller / SelfNormalizingFlows
  ☆68Updated 3 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 4 years ago
• ermongroup / alignflow
  ☆32Updated 5 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆200Updated 2 years ago
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆80Updated 3 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆152Updated 2 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆190Updated 6 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 4 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆60Updated 5 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆80Updated 4 years ago
• MoeinSorkhei / glow2
  Full-Glow: Fully conditional Glow for more realistic image generation
  ☆29Updated 4 years ago
• AilsaF / RS-GAN
  ☆32Updated 5 years ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆57Updated last year
• CW-Huang / CP-Flow
  Convex potential flows
  ☆85Updated 4 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆135Updated 3 years ago
• AlexiaJM / AdversarialConsistentScoreMatching
  Code for paper "Adversarial score matching and improved sampling for image generation"
  ☆125Updated 2 years ago
• shirgur / hp-vae-gan
  Official repository for HP-VAE-GAN
  ☆56Updated last year
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆119Updated 2 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆36Updated 6 years ago
• XuezheMax / wolf
  Invertible Generative Flows
  ☆85Updated 4 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆57Updated 2 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆77Updated last year
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 3 years ago