openai / vdvaeLinks
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
☆446Updated 2 years ago
Alternatives and similar repositories for vdvae
Users that are interested in vdvae are comparing it to the libraries listed below
Sorting:
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,049Updated 2 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆383Updated 2 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆270Updated last year
- Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"☆196Updated 2 years ago
- Minimalist implementation of VQ-VAE in Pytorch☆540Updated 4 years ago
- PyTorch implementation of Glow☆534Updated 3 years ago
- PyTorch implementation of VQ-VAE by Aäron van den Oord et al.☆572Updated 5 years ago
- Easy generative modeling in PyTorch☆439Updated last year
- The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)☆363Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- VQVAEs, GumbelSoftmaxes and friends☆566Updated 3 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 2 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆112Updated 3 years ago
- Disentanglement library for PyTorch☆276Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆818Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆584Updated 4 years ago
- Pytorch implementation of β-VAE☆543Updated 4 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆505Updated 4 years ago
- The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space☆425Updated last year
- Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation☆174Updated 3 years ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆725Updated last year
- Code for Implicit Generation and Generalization with Energy Based Models☆351Updated 2 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆620Updated 3 years ago
- Official Code for Invertible Residual Networks☆527Updated 10 months ago
- Pytorch Implementation of OpenAI's PixelCNN++☆347Updated 4 years ago
- PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"☆153Updated 2 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆511Updated 6 years ago
- Vector Quantized VAEs - PyTorch Implementation☆912Updated last year
- Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder☆160Updated 4 years ago