vvanirudh / deep-ensembles-uncertainty
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
☆137Updated 7 years ago
Alternatives and similar repositories for deep-ensembles-uncertainty:
Users that are interested in deep-ensembles-uncertainty are comparing it to the libraries listed below
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆60Updated 6 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆174Updated 2 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 6 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Dropout As A Bayesian Approximation: Code☆201Updated 9 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Updated 5 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- ☆53Updated 6 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆130Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆249Updated 6 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆211Updated 5 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- " Weight Uncertainty in Neural Networks"☆46Updated 7 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Implementation of the variational continual learning method☆190Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆82Updated 4 years ago