bayesiains / nflowsLinks
Normalizing flows in PyTorch
☆959Updated 9 months ago
Alternatives and similar repositories for nflows
Users that are interested in nflows are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of normalizing flow models☆885Updated last year
- Normalizing flows in PyTorch☆408Updated 3 months ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆633Updated 4 years ago
- Awesome resources on normalizing flows.☆1,568Updated 2 months ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆657Updated 5 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 3 months ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆280Updated last year
- Code for Neural Spline Flows paper☆279Updated 5 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆458Updated last year
- Constrained optimization toolkit for PyTorch☆698Updated 2 months ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago
- Framework for Easily Invertible Architectures☆834Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,521Updated last year
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated this week
- Laplace approximations for Deep Learning.☆517Updated 5 months ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆881Updated 5 years ago
- Masked Autoregressive Flow☆218Updated last year
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Geometric loss functions between point clouds, images and volumes☆651Updated 5 months ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆452Updated 3 weeks ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆644Updated this week
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆267Updated 2 years ago
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- A PyTorch implementation of L-BFGS.☆617Updated 2 years ago
- Newton and Quasi-Newton optimization with PyTorch☆363Updated 4 months ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆235Updated 7 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆283Updated 3 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆590Updated 9 months ago
- Experiments for understanding disentanglement in VAE latent representations☆828Updated 2 years ago