fducau / infoVAELinks
☆16Updated 7 years ago
Alternatives and similar repositories for infoVAE
Users that are interested in infoVAE are comparing it to the libraries listed below
Sorting:
- PixelVAE with or without regularization☆68Updated 8 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆75Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆102Updated 9 years ago
- Deep generative models for semi-supervised learning.☆109Updated 8 years ago
- ☆82Updated 7 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated last year
- Implementation of Coulomb GANs☆62Updated 4 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- TensorFlow implementation of LAPGAN (WIP, basically just DCGAN for now)☆11Updated 9 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- All of my deep learning work in one big repo.☆12Updated 8 years ago
- ☆92Updated 8 years ago
- Semi-Supervised Learning with Categorical VAE (experimented on MNIST)☆29Updated 8 years ago
- Code for the recurrent image density estimator☆29Updated 9 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago