henrhoi / vae-pytorch
Various Latent Variable Models implementations in Pytorch, including VAE, VAE with AF Prior, VQ-VAE and VQ-VAE with Gated PixelCNN
☆17Updated 4 years ago
Alternatives and similar repositories for vae-pytorch:
Users that are interested in vae-pytorch are comparing it to the libraries listed below
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆74Updated 2 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆118Updated last year
- An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence☆19Updated 4 years ago
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆90Updated 4 years ago
- PyTorch implementations of normalizing flow and its variants.☆76Updated 3 years ago
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆73Updated 5 years ago
- A σ-VAE implementation in PyTorch☆97Updated 3 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆126Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- ☆37Updated last year
- Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL☆36Updated 5 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated last year
- ☆33Updated 4 years ago
- Contrastively Disentangled Sequential Variational Audoencoder☆46Updated 6 months ago
- ☆68Updated 2 years ago
- ☆30Updated 5 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆55Updated 2 years ago
- Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)☆187Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning☆26Updated 3 years ago
- ☆20Updated 2 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆111Updated 3 years ago
- ☆23Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 9 months ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆81Updated last year
- Implementation of Flow++ in PyTorch☆41Updated 5 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago