tabacof / bayesian-nn-uncertaintyLinks
Classification uncertainty using Bayesian neural networks
☆33Updated 9 years ago
Alternatives and similar repositories for bayesian-nn-uncertainty
Users that are interested in bayesian-nn-uncertainty are comparing it to the libraries listed below
Sorting:
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Updated 8 years ago
- Dropout As A Bayesian Approximation: Code☆204Updated 10 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 10 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆219Updated 6 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 7 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆157Updated 8 years ago
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 9 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆121Updated 8 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 6 years ago
- Forward Thinking NIPS 2017☆107Updated 7 years ago
- What My Deep Model Doesn't Know...☆116Updated 10 years ago
- A Recurrent Neural Network for Object Segmentation☆127Updated 8 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Deep generative models for semi-supervised learning.☆109Updated 9 years ago
- Structured Receptive Fields in Convolutional Neural Networks☆47Updated 7 years ago
- Transfer Learning Shootout for PyTorch's model zoo (torchvision)☆169Updated 5 years ago
- Code for "Unifying distillation and privileged information" (ICLR 2016).☆48Updated 9 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 8 years ago
- DrMAD☆107Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago