gdikov / adversarial-variational-bayes
A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.
☆12Updated 7 years ago
Alternatives and similar repositories for adversarial-variational-bayes:
Users that are interested in adversarial-variational-bayes are comparing it to the libraries listed below
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Lagrangian VAE☆28Updated 6 years ago
- ☆26Updated 5 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆29Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- ☆17Updated 7 years ago
- ☆37Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 3 years ago
- Implementation of Sequential Variational Autoencoder☆86Updated 7 years ago