Understanding normalizing flows
☆132Dec 2, 2019Updated 6 years 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:
- Tutorial on normalizing flows.☆298Jan 17, 2018Updated 8 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆245Sep 3, 2018Updated 7 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆638Jul 12, 2021Updated 4 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30May 3, 2018Updated 8 years ago
- Pytorch implementation of Planar Flow☆17Dec 2, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆181Jul 5, 2019Updated 6 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147May 4, 2026Updated 2 weeks ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆286Dec 14, 2023Updated 2 years ago
- Masked Autoregressive Flow☆219Jul 28, 2024Updated last year
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆587May 13, 2021Updated 5 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆915Jan 27, 2020Updated 6 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆17May 28, 2018Updated 7 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆531Nov 22, 2018Updated 7 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆11Nov 14, 2017Updated 8 years ago
- ☆122Oct 31, 2019Updated 6 years ago
- Code for Neural Spline Flows paper☆290Oct 19, 2025Updated 7 months ago
- Experiments with Deep Learning☆1,351Mar 24, 2023Updated 3 years ago
- ☆64Apr 25, 2018Updated 8 years ago
- ☆12Dec 15, 2020Updated 5 years 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.
- Awesome resources on normalizing flows.☆1,622Mar 24, 2026Updated last month
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆667Sep 22, 2020Updated 5 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago
- Code for Graph Normalizing Flows.☆64Oct 28, 2019Updated 6 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Jun 7, 2016Updated 9 years ago
- Normalizing flows in PyTorch☆1,011Dec 27, 2024Updated last year
- Autoregressive Energy Machines☆78Nov 22, 2022Updated 3 years ago
- Manifold-learning flows (ℳ-flows)☆234Nov 13, 2020Updated 5 years ago
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Graduate topics course on learning discrete latent structure.☆66Dec 30, 2018Updated 7 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Posterior Server☆16Nov 10, 2016Updated 9 years ago
- Normalizing Flows in Jax☆109Aug 19, 2020Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 5 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Aug 6, 2018Updated 7 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆470Apr 2, 2019Updated 7 years ago