y0ast / Glow-PyTorch
Simple, extendable, easy to understand Glow implementation in PyTorch
☆381Updated 2 years ago
Alternatives and similar repositories for Glow-PyTorch:
Users that are interested in Glow-PyTorch are comparing it to the libraries listed below
- code for "Residual Flows for Invertible Generative Modeling".☆267Updated last year
- Official Code for Invertible Residual Networks☆527Updated 8 months ago
- PyTorch implementation of Glow☆533Updated 3 years ago
- PyTorch implementations of algorithms for density estimation☆581Updated 3 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆617Updated 3 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆509Updated 5 years ago
- Implementation of Real NVP in PyTorch☆230Updated 5 years ago
- Code for reproducing Flow ++ experiments☆187Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Disentanglement library for PyTorch☆276Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆276Updated last year
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆349Updated 2 years ago
- ☆235Updated 5 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆421Updated 2 years ago
- Code for Neural Spline Flows paper☆267Updated 4 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆111Updated 3 years ago
- ☆147Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- Tutorial on normalizing flows.☆300Updated 7 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆117Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆464Updated 6 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆233Updated 6 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆166Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- ☆87Updated 3 years ago
- PyTorch implementation of realNVP☆86Updated 7 months ago
- ☆180Updated 5 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆270Updated 6 years ago