kevin-w-li / deep-kexpfamLinks
☆29Updated 4 years ago
Alternatives and similar repositories for deep-kexpfam
Users that are interested in deep-kexpfam are comparing it to the libraries listed below
Sorting:
- Scaled MMD GAN☆36Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 3 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34Updated 2 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- ☆26Updated 6 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231Updated 7 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- ☆91Updated 6 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Updated 9 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆67Updated 6 years ago
- ☆79Updated 8 months ago
- ☆37Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆155Updated 6 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Updated 3 years ago
- ☆181Updated 6 years ago
- ☆42Updated 6 years ago