mcgrady20150318 / BayesianNeuralNetwork
a repo sharing Bayesian Neural Network recent papers
☆215Updated 5 years ago
Alternatives and similar repositories for BayesianNeuralNetwork:
Users that are interested in BayesianNeuralNetwork are comparing it to the libraries listed below
- Papers for Bayesian-NN☆318Updated 5 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆265Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆119Updated 5 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆173Updated 2 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆92Updated 5 years ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- ☆228Updated 4 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 4 years ago
- PyTorch implementation of Neural Processes☆88Updated 5 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 6 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆311Updated 6 years ago
- Bayesian Deep Learning: A Survey☆508Updated 2 months ago
- Active Learning on Image Data using Bayesian ConvNets☆136Updated 8 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆128Updated 6 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆564Updated 2 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆248Updated 6 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 6 years ago
- ☆259Updated 5 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆152Updated 2 years ago
- Building a Bayesian deep learning classifier☆487Updated 7 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆136Updated 7 years ago
- Deep neural network kernel for Gaussian process☆202Updated 4 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Implementing Bayes by Backprop☆183Updated 5 years ago
- ☆38Updated 8 years ago
- Deep Gaussian Processes in Python☆232Updated 3 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆202Updated 2 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 8 years ago