pbloem / pixel-models
Pytorch implementations of the PixelCNN (va Oord et al. 2016) and PixelVAE (Gulrajani et al. 2016) models
☆31Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for pixel-models
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL☆36Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆38Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆89Updated 5 years ago
- ☆21Updated 4 years ago
- PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016☆72Updated 6 years ago
- ☆75Updated 6 months ago
- Quantitative evaluation of disentangled representations☆61Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- ☆26Updated 5 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- A PyTorch implementation of the VQ-VAE-2 paper☆76Updated 5 years ago
- ☆121Updated 4 years ago
- Implementation of Glow in PyTorch☆79Updated 3 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆40Updated 3 years ago
- Code for Improved Condtional VRNNs for Video Prediction☆37Updated 3 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆53Updated 7 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆147Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Pytorch Implementation of OpenAI's GLOW☆92Updated 3 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year