sootlasten / beta-vae
Beta-VAE implementations in both PyTorch and Tensorflow
☆22Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for beta-vae
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 5 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 6 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆38Updated 5 years ago
- PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video☆47Updated 4 years ago
- ☆61Updated 6 years ago
- Uncertainty interpretations of the neural network☆31Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 5 years ago
- Implementation of Hierarchical Long-term Video Prediction without Supervision☆90Updated 2 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching☆27Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- ☆27Updated 4 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆43Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆58Updated 6 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated last year
- ZForcing Repo☆40Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Code to build VAE models that are jointly conditioned.☆36Updated 6 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 6 years ago
- Implementation of Sequential Attend, Infer, Repeat (SQAIR)☆97Updated 5 years ago