pbloem / pixel-modelsLinks
Pytorch implementations of the PixelCNN (va Oord et al. 2016) and PixelVAE (Gulrajani et al. 2016) models
☆32Updated 5 years ago
Alternatives and similar repositories for pixel-models
Users that are interested in pixel-models are comparing it to the libraries listed below
Sorting:
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆111Updated 8 years ago
- ☆90Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆155Updated 6 years ago
- ☆238Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- ☆117Updated 7 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- ☆123Updated 5 years ago
- ☆149Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- ☆181Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 7 years ago
- Implementation of Glow in PyTorch☆80Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆92Updated 7 years ago
- Quantitative evaluation of disentangled representations☆63Updated 7 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- ☆26Updated 7 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- ☆42Updated 6 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆79Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆233Updated 7 years ago