Ladder Variational Autoencoders (LVAE) in PyTorch
☆90Jul 24, 2020Updated 5 years ago
Alternatives and similar repositories for ladder-vae-pytorch
Users that are interested in ladder-vae-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Dec 8, 2022Updated 3 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Jan 18, 2022Updated 4 years ago
- Implementation of VLAE☆212Dec 21, 2017Updated 8 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆41Sep 2, 2023Updated 2 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆113Jul 17, 2021Updated 4 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.
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Sep 11, 2019Updated 6 years ago
- PyTorch implementation of Variational Diffusion Models.☆106Apr 23, 2024Updated 2 years ago
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆453Apr 28, 2023Updated 3 years ago
- ☆91Jun 24, 2019Updated 7 years ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Jan 6, 2020Updated 6 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Jul 7, 2020Updated 5 years ago
- Disentanglement library for PyTorch☆283May 8, 2022Updated 4 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.
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Mar 28, 2016Updated 10 years ago
- ☆13Aug 15, 2024Updated last year
- ☆10Sep 17, 2021Updated 4 years ago
- Code for Improved Condtional VRNNs for Video Prediction