bvezilic / Variational-autoencoderLinks
PyTorch implementation of Variational Autoencoder (VAE) on MNIST dataset.
☆23Updated last year
Alternatives and similar repositories for Variational-autoencoder
Users that are interested in Variational-autoencoder are comparing it to the libraries listed below
Sorting:
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆32Updated 4 years ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- A toy example of VAE-regression network☆72Updated 5 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- Exploring Moving Mnist dataset with forecasting algorithms☆31Updated 2 years ago
- course project for ECS 269☆23Updated 6 years ago
- Autoencoders in PyTorch☆95Updated 3 years ago
- A Pytorch Implementation of the Beta-VAE☆44Updated 6 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆62Updated 6 years ago
- Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)☆64Updated 3 years ago
- Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch☆32Updated last year
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- ☆17Updated 3 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆81Updated 3 years ago
- VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.☆78Updated 4 years ago
- Categorical Variational Auto-encoders in PyTorch☆21Updated 3 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- Vector Quantile Regression☆19Updated 4 months ago
- A Pytorch Implementation of a denoising autoencoder.☆46Updated 6 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 4 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆147Updated 6 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆70Updated 5 years ago
- Open Sourced ML Research Paper Implementations in Tensorflow☆19Updated 3 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆56Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆135Updated last year
- 1D Wasserstein Statistical Loss in Pytorch☆28Updated 5 years ago