yoonholee / pytorch-vae
A minimal pytorch implementation of VAE, IWAE, MIWAE
☆46Updated last year
Related projects ⓘ
Alternatives and complementary repositories for pytorch-vae
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ☆89Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆59Updated 2 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Updated last year
- ☆52Updated 3 months ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- ☆146Updated 2 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆36Updated 3 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 3 weeks ago
- Discrete Normalizing Flows implemented in PyTorch☆107Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆26Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆80Updated 4 months ago
- Gaussian Process Prior Variational Autoencoder☆79Updated 5 years ago
- ☆26Updated 5 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- A Pytorch Implementation of Attentive Neural Process☆73Updated 5 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated last year
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆45Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year