Alternatives and similar repositories for survae_flows:

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

• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆260Updated 4 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆273Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆265Updated last year
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆164Updated 4 years ago
• riannevdberg / sylvester-flows
  ☆178Updated 5 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆177Updated 3 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆108Updated 3 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆137Updated 4 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆146Updated 4 months ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆207Updated 5 months ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆226Updated 5 years ago
• PolinaKirichenko / flows_ood
  ☆87Updated 3 years ago
• izmailovpavel / flowgmm
  ☆146Updated 2 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 3 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆83Updated 2 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆80Updated 4 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆230Updated 6 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆379Updated 2 years ago
• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆228Updated 2 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆187Updated 5 years ago
• daib13 / TwoStageVAE
  ☆233Updated 5 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆577Updated 3 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆124Updated 3 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆609Updated 3 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆302Updated last month
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆82Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆418Updated 2 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆634Updated 4 years ago