probabilists / zukoLinks
Normalizing flows in PyTorch
☆391Updated 2 weeks ago
Alternatives and similar repositories for zuko
Users that are interested in zuko are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of normalizing flow models☆847Updated 9 months ago
- Normalizing flows in PyTorch☆921Updated 5 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated 3 weeks ago
- A parallel ODE solver for PyTorch☆256Updated 8 months ago
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆450Updated 9 months ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Code for Neural Spline Flows paper☆275Updated 5 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆438Updated last year
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆604Updated 2 weeks ago
- Masked Autoregressive Flow☆213Updated 10 months ago
- Awesome resources on normalizing flows.☆1,533Updated last month
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆625Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- Gaussian processes in JAX and Flax.☆516Updated last month
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 10 months ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆644Updated 4 years ago
- ☆165Updated last month
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- Laplace approximations for Deep Learning.☆508Updated 2 months ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆252Updated 2 years ago
- ☆152Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆170Updated 3 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆429Updated last week
- PyTorch implementation of Variational Diffusion Models.☆86Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆111Updated 3 months ago
- ☆152Updated 2 years ago
- Compositional Linear Algebra☆476Updated 3 weeks ago