felix-laumann / Bayesian_CNN_ContinualLearning
Interpreting Bayesian inference as continual learning with a CNN
☆22Updated 6 years ago
Alternatives and similar repositories for Bayesian_CNN_ContinualLearning:
Users that are interested in Bayesian_CNN_ContinualLearning are comparing it to the libraries listed below
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆137Updated 7 years ago
- Implementation of the variational continual learning method☆190Updated 5 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 6 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- ☆16Updated 6 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Dropout as Regularization and Bayesian Approximation☆57Updated 6 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 5 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- ☆53Updated 6 years ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- ☆10Updated 6 years ago
- ☆26Updated 6 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆50Updated 5 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆38Updated 6 years ago
- ☆25Updated 2 years ago
- Implementation of EWC introduced by "Overcoming catastrophic forgetting in neural networks"☆16Updated 7 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 3 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- model uncertainty using mc dropout☆20Updated 6 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Use Gaussian processes to estimate CNN classification uncertainty☆12Updated 7 years ago
- Open-set Recognition with Adversarial Autoencoders☆37Updated 6 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆75Updated last year
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆42Updated 4 years ago
- Uncertainty estimation on Mnist dataset☆23Updated 7 years ago