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
  ☆945Updated 8 months ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,559Updated last month
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆402Updated 2 months ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆628Updated 4 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆650Updated 4 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆515Updated 4 months ago
• vislearn / FrEIA
  Framework for Easily Invertible Architectures
  ☆822Updated last year
• atong01 / conditional-flow-matching
  TorchCFM: a Conditional Flow Matching library
  ☆1,932Updated last month
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,518Updated last year
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆697Updated 2 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆282Updated last year
• yang-song / score_sde
  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
  ☆1,717Updated 2 years ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,226Updated last week
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆277Updated 5 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…
  ☆308Updated 2 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆456Updated 11 months ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆740Updated last year
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆445Updated 2 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆179Updated 3 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆697Updated 3 weeks ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,465Updated 11 months ago
• google-research / vdm
  ☆322Updated 2 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated last month
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆311Updated 4 years ago
• Sohl-Dickstein / Diffusion-Probabilistic-Models
  Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  ☆496Updated 8 years ago
• NVlabs / LSGM
  The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
  ☆364Updated 3 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆331Updated last month
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆264Updated 10 months ago