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:
- Autoencoders in PyTorch☆93Updated 3 years ago
- ☆18Updated 3 years ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- ☆12Updated 4 years ago
- A toy example of VAE-regression network☆72Updated 5 years ago
- A Pytorch Implementation of the Beta-VAE☆44Updated 5 years ago
- Dropout as Regularization and Bayesian Approximation☆59Updated 6 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆33Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆62Updated 6 years ago
- Exploring Moving Mnist dataset with forecasting algorithms☆32Updated 2 years ago
- Auto Encoders in PyTorch☆63Updated 7 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- A Pytorch Implementation of a denoising autoencoder.☆45Updated 6 years ago
- Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)☆61Updated 3 years ago
- course project for ECS 269☆23Updated 6 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆147Updated 6 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- A collection of Hyper parameter tuning library.☆41Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- ☆13Updated 4 years ago
- We're generating faces with Pytorch GAN implementations☆15Updated 5 years ago
- Pytorch implementation for VAE and conditional VAE.☆37Updated 4 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆80Updated 3 years ago
- Visually Explainable VAE☆63Updated 4 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago