kumar-shridhar / Master-Thesis-BayesianCNNLinks
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
☆264Updated 6 years ago
Alternatives and similar repositories for Master-Thesis-BayesianCNN
Users that are interested in Master-Thesis-BayesianCNN are comparing it to the libraries listed below
Sorting:
- Building a Bayesian deep learning classifier☆493Updated 8 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆315Updated 7 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆579Updated 3 years ago
- Papers for Bayesian-NN☆326Updated 6 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 6 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Updated 6 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆140Updated 8 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Bayesian Neural Network in PyTorch☆93Updated last year
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆357Updated 8 years ago
- Collection of probabilistic models and inference algorithms☆240Updated 5 years ago
- ☆239Updated 5 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Updated 6 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆140Updated 9 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 7 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆247Updated 6 years ago
- Pytorch implementations of various types of autoencoders☆65Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- ☆275Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆122Updated 6 years ago