bayesiains / nflowsLinks
Normalizing flows in PyTorch
☆989Updated last year
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☆928Updated last year
- Awesome resources on normalizing flows.☆1,605Updated 6 months ago
- Normalizing flows in PyTorch☆440Updated 2 months ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Updated 4 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆664Updated 5 years ago
- Laplace approximations for Deep Learning.☆532Updated 9 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,552Updated last year
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆464Updated last year
- 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
- Manifold-learning flows (ℳ-flows)☆233Updated 5 years ago
- Code for Neural Spline Flows paper☆284Updated 3 months ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Updated 5 years ago
- Constrained optimization toolkit for PyTorch☆706Updated 6 months ago
- Masked Autoregressive Flow☆219Updated last year
- Geometric loss functions between point clouds, images and volumes☆677Updated 9 months ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 4 months ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆909Updated 6 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆465Updated 4 months ago
- Framework for Easily Invertible Architectures☆846Updated last year
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆698Updated this week
- Experiments for understanding disentanglement in VAE latent representations☆839Updated 3 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,701Updated last year
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆697Updated 3 years ago
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆795Updated last year
- A PyTorch implementation of L-BFGS.☆625Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Updated 4 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,515Updated last year