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
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 6 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Implementation of the variational continual learning method☆190Updated 5 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆135Updated 7 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Uncertainty estimation on Mnist dataset☆23Updated 7 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
- ☆51Updated 10 years ago
- ☆16Updated 6 years ago
- ☆53Updated 6 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆21Updated 6 years ago
- Deep Neural Networks Entropy from Replicas☆32Updated 5 years ago
- " Weight Uncertainty in Neural Networks"☆45Updated 7 years ago
- ☆25Updated 2 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆37Updated 5 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆42Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆12Updated 6 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆14Updated 5 years ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- ☆26Updated 6 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆22Updated last year
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Bayesian Neural Network in PyTorch☆83Updated 8 months ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆58Updated 6 years ago
- Open-set Recognition with Adversarial Autoencoders☆37Updated 6 years ago
- PyTorch implementation of Stacked Capsule Auto-Encoders☆40Updated 6 months ago
- ☆82Updated last year
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆62Updated 2 years ago
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆13Updated 7 years ago