kamenbliznashki / normalizing_flowsLinks
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
☆637Updated 4 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:
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆388Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆664Updated 5 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆244Updated 7 years ago
- Code for Neural Spline Flows paper☆284Updated 3 months ago
- Official Code for Invertible Residual Networks☆535Updated last year
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Updated 5 years ago
- Normalizing flows in PyTorch☆991Updated last year
- PyTorch implementation of Glow☆543Updated 4 years ago
- Masked Autoregressive Flow☆219Updated last year
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 3 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆909Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- Tutorial on normalizing flows.☆299Updated 8 years ago
- ☆238Updated 6 years ago
- Experiments for understanding disentanglement in VAE latent representations☆839Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆236Updated 3 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆384Updated 5 years ago
- PyTorch implementation of normalizing flow models☆928Updated last year
- ☆181Updated 6 years ago
- Pytorch implementation of β-VAE☆566Updated 5 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆838Updated 4 years ago
- Manifold-learning flows (ℳ-flows)☆233Updated 5 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Updated 5 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆514Updated 6 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 4 months ago
- Pytorch Implementation of OpenAI's PixelCNN++☆349Updated 4 years ago