Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
☆231May 6, 2018Updated 8 years ago
Alternatives and similar repositories for vae_vampprior
Users that are interested in vae_vampprior are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆74Jan 26, 2017Updated 9 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆14Feb 15, 2022Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Jun 14, 2017Updated 9 years ago
- ☆182Jul 5, 2019Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆209Jan 26, 2016Updated 10 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.
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆51Sep 25, 2017Updated 9 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 5 years ago
- Implementation of VLAE☆212Dec 21, 2017Updated 8 years ago
- Wasserstein Auto-Encoders☆511Jun 28, 2018Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Mar 28, 2016Updated 10 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆528Nov 22, 2018Updated 7 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Dec 8, 2022Updated 3 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆241Dec 1, 2018Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆393Mar 21, 2020Updated 6 years ago
- Deep generative models for semi-supervised learning.☆109Nov 21, 2016Updated 9 years ago
- ☆152Feb 9, 2018Updated 8 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Oct 16, 2024Updated 2 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Apr 2, 2019Updated 7 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆207Apr 13, 2018Updated 8 years ago
- ProbML: Symposium on Probabilistic Machine Learning☆52Sep 14, 2026Updated last month
- ☆12Dec 8, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code release for the ICLR paper☆22Jun 13, 2018Updated 8 years ago
- Implementation of iterative inference in deep latent variable models☆45Aug 21, 2019Updated 7 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Jul 7, 2017Updated 9 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆354Aug 31, 2022Updated 4 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆288Jun 28, 2018Updated 8 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆16Mar 17, 2020Updated 6 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆893May 12, 2024Updated 2 years ago
- Implementation of the variational continual learning method☆197May 7, 2019Updated 7 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- code for "Residual Flows for Invertible Generative Modeling".☆276Sep 19, 2023Updated 3 years ago
- PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)☆185Dec 15, 2020Updated 5 years ago
- PyTorch implementations of algorithms for density estimation☆589May 13, 2021Updated 5 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Mar 5, 2021Updated 5 years ago
- ☆12Dec 7, 2017Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 7 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆216Mar 4, 2020Updated 6 years ago