Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
☆285Dec 14, 2023Updated 2 years ago
Alternatives and similar repositories for normalizing-flows
Users that are interested in normalizing-flows are comparing it to the libraries listed below
Sorting:
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Jul 12, 2021Updated 4 years ago
- Normalizing flows in PyTorch☆999Dec 27, 2024Updated last year
- Code for Neural Spline Flows paper☆286Oct 19, 2025Updated 5 months ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆912Jan 27, 2020Updated 6 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆244Sep 3, 2018Updated 7 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆148Sep 29, 2025Updated 5 months ago
- PyTorch implementations of algorithms for density estimation☆586May 13, 2021Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆115Oct 4, 2021Updated 4 years ago
- Awesome resources on normalizing flows.☆1,613Jul 7, 2025Updated 8 months ago
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 4 years ago
- ☆181Jul 5, 2019Updated 6 years ago
- Tutorial on normalizing flows.☆299Jan 17, 2018Updated 8 years ago
- Understanding normalizing flows☆132Dec 2, 2019Updated 6 years ago
- PyTorch implementation of normalizing flow models☆935Aug 25, 2024Updated last year
- Manifold-learning flows (ℳ-flows)☆233Nov 13, 2020Updated 5 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Sep 19, 2023Updated 2 years ago
- Implementation of Real NVP in PyTorch☆235Aug 23, 2019Updated 6 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆84Mar 15, 2021Updated 5 years ago
- Masked Autoregressive Flow☆219Jul 28, 2024Updated last year
- Code for reproducing Flow ++ experiments☆191Apr 27, 2019Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 4 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆664Sep 22, 2020Updated 5 years ago
- ☆150Mar 28, 2022Updated 3 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 7 years ago
- PyTorch implementation of realNVP☆92Sep 2, 2024Updated last year
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆83May 1, 2020Updated 5 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Jul 3, 2019Updated 6 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Mar 5, 2026Updated 2 weeks ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆389Jul 16, 2022Updated 3 years ago
- Official Code for Invertible Residual Networks☆536Jul 28, 2024Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆32Sep 16, 2021Updated 4 years ago
- Normalizing flows in PyTorch☆451Mar 10, 2026Updated last week
- ☆18Apr 22, 2020Updated 5 years ago
- PyTorch implementation of Glow☆542Nov 20, 2021Updated 4 years ago
- Implementations of normalizing flows using python and tensorflow☆24Dec 3, 2024Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆468Aug 28, 2024Updated last year