PyTorch implementation of normalizing flow models
☆955Aug 25, 2024Updated last year
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:
- Normalizing flows in PyTorch☆1,019Dec 27, 2024Updated last year
- Awesome resources on normalizing flows.☆1,631Jun 16, 2026Updated 2 weeks ago
- Normalizing flows in PyTorch☆462Mar 10, 2026Updated 3 months ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆640Jul 12, 2021Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆49Sep 7, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆286Dec 14, 2023Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Apr 15, 2026Updated 2 months ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆917Jan 27, 2020Updated 6 years ago
- PyTorch implementations of normalizing flow and its variants.☆80May 14, 2021Updated 5 years ago
- TorchCFM: a Conditional Flow Matching library☆2,511Apr 20, 2026Updated 2 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆68Mar 11, 2024Updated 2 years ago
- Code for Neural Spline Flows paper☆291Oct 19, 2025Updated 8 months ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- Masked Autoregressive Flow☆223Jul 28, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- PyTorch implementation of Glow☆543Nov 20, 2021Updated 4 years ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆259Oct 28, 2025Updated 8 months ago
- Implementation of methods to sample from Boltzmann distributions☆22Jan 24, 2023Updated 3 years ago
- Framework for Easily Invertible Architectures☆859Jul 3, 2024Updated last year
- PyTorch implementations of algorithms for density estimation☆588May 13, 2021Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆670Sep 22, 2020Updated 5 years ago
- Stochastic Normalizing Flows☆80Dec 9, 2021Updated 4 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆388Jul 16, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆21Nov 29, 2022Updated 3 years ago
- Normalising flows implemented using nflows☆26Dec 12, 2025Updated 6 months ago
- ☆235Jun 21, 2026Updated last week
- Manifold-learning flows (ℳ-flows)☆234Nov 13, 2020Updated 5 years ago
- Implementations of normalizing flows using python and tensorflow☆25Dec 3, 2024Updated last year
- Variational Autoencoder (VAE) with Normalizing Flows☆72Oct 10, 2024Updated last year
- Pytorch implementation of Block Neural Autoregressive Flow☆184Aug 19, 2021Updated 4 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,451Apr 4, 2025Updated last year
- A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes…☆4,570Jan 5, 2026Updated 5 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆838Updated this week
- nessai: Nested Sampling with Artificial Intelligence☆50Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated last year
- code for "Residual Flows for Invertible Generative Modeling".☆276Sep 19, 2023Updated 2 years ago
- ☆55Jul 23, 2024Updated last year
- ☆216Feb 12, 2024Updated 2 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,572May 2, 2024Updated 2 years ago