Alternatives and similar repositories for diffusion_vae

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

• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 2 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• dwromero / wavelet_networks
  Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…
  ☆82Updated last year
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆77Updated 2 years ago
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• IlyaTrofimov / MTopDiv
  [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds
  ☆15Updated 3 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 3 years ago
• sssohrab / rho_VAE
  rho_VAE: an autoregressive parametrization of the VAE encoder
  ☆16Updated 5 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆123Updated 2 years ago
• BGU-CS-VIL / dpmmpythonStreaming
  Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
  ☆14Updated 2 years ago
• liu-ziyin / NeurIPS_2020_Snake
  ☆31Updated 4 years ago
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆60Updated 2 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆68Updated 4 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆197Updated last year
• revsic / jax-variational-diffwave
  Jax/Flax implementation of Variational-DiffWave.
  ☆40Updated 3 years ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆17Updated 4 years ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆134Updated 3 years ago
• tk-rusch / LEM
  Official code for Long Expressive Memory (ICLR 2022, Spotlight)
  ☆70Updated 3 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
• aliutkus / swf
  ☆15Updated 5 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆61Updated 3 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆40Updated 6 years ago
• byeonghu-na / INDM
  Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.
  ☆40Updated last year