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 2 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• ermongroup / alignflow
  ☆32Updated 5 years ago
• XuezheMax / wolf
  Invertible Generative Flows
  ☆81Updated 3 years ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆79Updated 2 years ago
• MoeinSorkhei / glow2
  Full-Glow: Fully conditional Glow for more realistic image generation
  ☆27Updated 3 years ago
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆74Updated 2 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆104Updated 3 years ago
• locuslab / deq-ddim
  ☆61Updated 2 years ago
• AilsaF / RS-GAN
  ☆29Updated 4 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆36Updated 5 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆39Updated last year
• zhifengkong / FastDPM_pytorch
  Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
  ☆82Updated 3 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆197Updated last year
• yolu1055 / conditional-glow
  Conditional-Glow for Structured Prediction
  ☆27Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 7 months ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆41Updated 5 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 4 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆148Updated last year
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆133Updated 2 years ago
• rakhimovv / GenerativeLatentFlow
  The PyTorch implementation of the GLF
  ☆21Updated 3 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆74Updated 7 months ago
• shirgur / hp-vae-gan
  Official repository for HP-VAE-GAN
  ☆57Updated 7 months ago
• asteroidhouse / INN-exploding-inverses
  Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347
  ☆30Updated 4 years ago