myshkov / bnn-analysis
☆16Updated 8 years ago
Alternatives and similar repositories for bnn-analysis:
Users that are interested in bnn-analysis are comparing it to the libraries listed below
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆23Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Determinantal Point Processes in Julia☆12Updated 5 years ago
- ☆26Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- ☆12Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆37Updated 5 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- ☆13Updated 6 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code for the Santa algorithm for deep learning☆17Updated 6 years ago