yoonholee / pytorch-vaeLinks
A minimal pytorch implementation of VAE, IWAE, MIWAE
☆47Updated 3 years ago
Alternatives and similar repositories for pytorch-vae
Users that are interested in pytorch-vae are comparing it to the libraries listed below
Sorting:
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- ☆54Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- ☆91Updated 6 years ago
- Pytorch implementation of Neural Processes for functions and images☆236Updated 3 years ago
- ☆149Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Hypergradient descent☆147Updated last year
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 7 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- ☆181Updated 6 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 7 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆128Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago