bstriner / bayesian_denseLinks
Bayesian Weight Uncertainty Dense Layer for Keras
☆48Updated 8 years ago
Alternatives and similar repositories for bayesian_dense
Users that are interested in bayesian_dense are comparing it to the libraries listed below
Sorting:
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Deep generative models for semi-supervised learning.☆109Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Classification uncertainty using Bayesian neural networks☆33Updated 9 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Updated 8 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆248Updated last year
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution☆51Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 8 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 6 years ago
- Dropout As A Bayesian Approximation: Code☆204Updated 10 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆133Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- ☆62Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago