ikostrikov / pytorch-flowsView external linksLinks
PyTorch implementations of algorithms for density estimation
☆585May 13, 2021Updated 4 years ago
Alternatives and similar repositories for pytorch-flows
Users that are interested in pytorch-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
- Pytorch implementation of Block Neural Autoregressive Flow☆181Aug 19, 2021Updated 4 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆664Sep 22, 2020Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆282Dec 14, 2023Updated 2 years ago
- Code for Neural Spline Flows paper☆284Oct 19, 2025Updated 3 months ago
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 4 years ago
- Normalizing flows in PyTorch☆991Dec 27, 2024Updated last year
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆588Dec 8, 2018Updated 7 years ago
- Masked Autoregressive Flow☆219Jul 28, 2024Updated last year
- ☆181Jul 5, 2019Updated 6 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Sep 19, 2023Updated 2 years ago
- Code for reproducing Flow ++ experiments☆191Apr 27, 2019Updated 6 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆909Jan 27, 2020Updated 6 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆514Apr 25, 2019Updated 6 years ago
- PyTorch implementation of Glow☆543Nov 20, 2021Updated 4 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Aug 7, 2018Updated 7 years ago
- i-RevNet Pytorch Code☆396Feb 16, 2021Updated 4 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆388Jul 16, 2022Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894May 12, 2024Updated last year
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Apr 2, 2019Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Nov 6, 2020Updated 5 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"☆3,178Jul 23, 2024Updated last year
- Official Code for Invertible Residual Networks☆536Jul 28, 2024Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,828Feb 5, 2026Updated last week
- Autoregressive Energy Machines☆78Nov 22, 2022Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆115Oct 4, 2021Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆485Feb 12, 2022Updated 4 years ago
- Manifold-learning flows (ℳ-flows)☆233Nov 13, 2020Updated 5 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆529Nov 22, 2018Updated 7 years ago
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆40Apr 25, 2023Updated 2 years ago
- Tutorial on normalizing flows.☆299Jan 17, 2018Updated 8 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Jan 20, 2020Updated 6 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,338Apr 4, 2025Updated 10 months ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Sep 25, 2017Updated 8 years ago
- Tools for PyTorch☆223Aug 10, 2022Updated 3 years ago
- Understanding normalizing flows☆132Dec 2, 2019Updated 6 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,629Mar 25, 2022Updated 3 years ago