Alternatives and similar repositories for vqvae

Users that are interested in vqvae are comparing it to the libraries listed below

• IlyaTrofimov / MTopDiv
  [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds
  ☆13Updated 3 years ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆21Updated 9 months ago
• tkasarla / max-separation-as-inductive-bias
  Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
  ☆29Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆56Updated 2 years ago
• Lightning-Universe / paper-AAVAE
  ☆47Updated 2 years ago
• AKuzina / DWP
  Pytorch implementation of the DWP with application to MRI segmentation
  ☆9Updated 4 years ago
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆53Updated 2 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated last year
• ruiqigao / recovery_likelihood
  ☆51Updated 4 years ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆80Updated 2 years ago
• iamalexkorotin / KernelNeuralOptimalTransport
  PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
  ☆25Updated last year
• tanelp / confviews
  Generate bird's-eye views of conference proceedings.
  ☆24Updated 6 months ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆17Updated 4 years ago
• ExplainableML / BayesCap
  (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
  ☆49Updated 2 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆30Updated 3 years ago
• andrey-okhotin / star-shaped
  Official PyTorch implementation for the paper Star-Shaped Denoising Diffusion Probabilistic Models
  ☆22Updated 6 months ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• AndrewAtanov / semi-supervised-flow-pytorch
  Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"
  ☆10Updated 5 years ago
• ermongroup / alignflow
  ☆33Updated 5 years ago
• lucidrains / compositional-attention-pytorch
  Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…
  ☆51Updated 3 years ago
• PrincetonLIPS / MaM
  Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]
  ☆22Updated 10 months ago
• ronaldiscool / VAETutorial
  ☆17Updated 4 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago