Alternatives and similar repositories for zuko:

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

• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆791Updated 5 months ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆882Updated last month
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆305Updated 2 months ago
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆248Updated 4 months ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆273Updated last year
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆262Updated 4 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆431Updated 5 months ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆496Updated 2 weeks ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆286Updated 4 years ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
  ☆567Updated this week
• malbergo / stochastic-interpolants
  ☆127Updated last year
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆146Updated 5 months ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆208Updated 6 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX.
  ☆477Updated 2 weeks ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆122Updated 5 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆97Updated 10 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆169Updated 3 years ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆428Updated last year
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆160Updated 3 years ago
• google-research / vdm
  ☆307Updated 2 years ago
• danielward27 / flowjax
  ☆142Updated this week
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆244Updated 2 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆122Updated 3 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆335Updated 11 months ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,486Updated 2 weeks ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆275Updated 3 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆666Updated 2 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆635Updated 4 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆78Updated 9 months ago