Alternatives and similar repositories for IWAE-pytorch:

Users that are interested in IWAE-pytorch are comparing it to the libraries listed below

• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• astirn / MV-Kumaraswamy
  ☆13Updated 2 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆40Updated 6 years ago
• audeg / Sinkhorn-GAN
  Learning generative models with Sinkhorn Loss
  ☆28Updated 6 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆33Updated 4 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆17Updated 4 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 5 years ago
• aripakman / neural_clustering_process
  Implementation of the Neural Clustering Process algorithm in Pytorch
  ☆31Updated 4 years ago
• PrincetonLIPS / MaM
  Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
  ☆22Updated 7 months ago
• xinshi-chen / ParticleFlowBayesRule
  Pytorch implementation for "Particle Flow Bayes' Rule"
  ☆14Updated 5 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆18Updated 5 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆28Updated 6 years ago
• SamsungLabs / semi-supervised-NFs
  Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
  ☆28Updated 3 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 8 months ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 6 years ago
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆22Updated 2 years ago
• abdulfatir / planar-flow-pytorch
  Pytorch implementation of Planar Flow
  ☆17Updated 5 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 8 months ago
• ronaldiscool / VAETutorial
  ☆17Updated 4 years ago
• gr8joo / MVTCAE
  ☆15Updated 3 years ago
• is0383kk / Pytorch_VAE-GMM
  Implementation of a model to make VAE and GMM train from each other
  ☆26Updated 2 years ago