Alternatives and similar repositories for MEF

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

• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆40Updated 6 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆83Updated 5 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 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
• aliutkus / swf
  ☆15Updated 5 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• tatsy / normalizing-flows-pytorch
  PyTorch implementations of normalizing flow and its variants.
  ☆78Updated 4 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆167Updated 5 years ago
• revsic / jax-variational-diffwave
  Jax/Flax implementation of Variational-DiffWave.
  ☆40Updated 3 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆129Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• jthickstun / basis-separation
  Implementation of the BASIS algorithm for source separation with deep generative priors
  ☆41Updated 2 years ago
• divymurli / VAEs
  Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)
  ☆47Updated 5 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 4 years ago
• izmailovpavel / flowgmm
  ☆148Updated 3 years ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 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
• bshall / VectorQuantizedVAE
  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
  ☆75Updated 5 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆113Updated 4 years ago
• MokkeMeguru / glow-realnvp-tutorial
  Glow and RealNVP with tensorflow 2.0 and tensorflow probability
  ☆31Updated 2 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆272Updated 2 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆118Updated 2 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…
  ☆84Updated last year
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆79Updated 2 years ago
• taufikxu / FD-ScoreMatching
  The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching
  ☆12Updated 2 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆91Updated 5 years ago
• orybkin / sigma-vae-pytorch
  A σ-VAE implementation in PyTorch
  ☆99Updated 3 years ago