Alternatives and similar repositories for normalizing-flows

Users that are interested in normalizing-flows are comparing it to the libraries listed below

• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆991Updated last year
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,606Updated 6 months ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆440Updated 2 months ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆637Updated 4 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆664Updated 5 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆534Updated 9 months ago
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆718Updated 3 years ago
• vislearn / FrEIA
  Framework for Easily Invertible Architectures
  ☆846Updated last year
• Jackson-Kang / Pytorch-VAE-tutorial
  A simple tutorial of Variational AutoEncoders with Pytorch
  ☆429Updated last year
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,287Updated 5 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆465Updated last year
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆281Updated 2 years ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,552Updated last year
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆290Updated 5 years ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆769Updated last year
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆470Updated 5 months ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆146Updated 4 months ago
• google-research / vdm
  ☆328Updated 3 years ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆698Updated this week
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆105Updated last year
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆237Updated 6 years ago
• yang-song / score_sde
  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
  ☆1,799Updated 3 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆233Updated 5 years ago
• Sohl-Dickstein / Diffusion-Probabilistic-Models
  Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  ☆531Updated 8 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆284Updated 3 months ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆677Updated 9 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆706Updated 6 months ago
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆319Updated 4 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆191Updated 4 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…
  ☆310Updated 3 weeks ago