Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
☆147May 4, 2026Updated 2 weeks ago
Alternatives and similar repositories for normalizing-flows
Users that are interested in normalizing-flows are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆27Jun 11, 2020Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆286Dec 14, 2023Updated 2 years ago
- Implementations of normalizing flows using python and tensorflow☆24Dec 3, 2024Updated last year
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆638Jul 12, 2021Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Nov 21, 2022Updated 3 years ago
- Understanding normalizing flows☆132Dec 2, 2019Updated 6 years ago
- Normalizing flows in PyTorch☆1,011Dec 27, 2024Updated last year
- Tutorial on normalizing flows.☆298Jan 17, 2018Updated 8 years ago
- Awesome resources on normalizing flows.☆1,622Mar 24, 2026Updated last month
- Masked Autoregressive Flow☆219Jul 28, 2024Updated last year
- Code for Neural Spline Flows paper☆290Oct 19, 2025Updated 7 months ago
- ☆87Nov 2, 2021Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Mar 25, 2020Updated 6 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- ☆150Mar 28, 2022Updated 4 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30May 3, 2018Updated 8 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆915Jan 27, 2020Updated 6 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆245Sep 3, 2018Updated 7 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 4 years ago
- ☆181Jul 5, 2019Updated 6 years ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆22Dec 10, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Apr 22, 2021Updated 5 years ago
- PyTorch implementations of algorithms for density estimation☆587May 13, 2021Updated 5 years ago
- Modern normalizing flows in Python. Simple to use and easily extensible.☆12Mar 9, 2026Updated 2 months ago
- Fast Inference for GW Astronomy, Research and Observations☆19Apr 30, 2026Updated 2 weeks ago
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆28Oct 13, 2022Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆667Sep 22, 2020Updated 5 years ago
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago
- CATHODE program from arxiv.org/abs/2109.00546☆11Jul 2, 2024Updated last year
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Manifold-learning flows (ℳ-flows)☆234Nov 13, 2020Updated 5 years ago
- PyTorch implementation of normalizing flow models☆944Aug 25, 2024Updated last year
- Library about construction helper for Generative models e.g. Flow-based Model with Tensorflow 2.x.☆12Feb 16, 2023Updated 3 years ago
- nessai: Nested Sampling with Artificial Intelligence☆49Feb 24, 2026Updated 2 months ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆120Sep 13, 2023Updated 2 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Jan 14, 2020Updated 6 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago