RobRomijnders / weight_uncertaintyLinks
Implementing Bayes by Backprop
☆184Updated 6 years ago
Alternatives and similar repositories for weight_uncertainty
Users that are interested in weight_uncertainty are comparing it to the libraries listed below
Sorting:
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Updated 6 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆313Updated 6 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- 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
- Building a Bayesian deep learning classifier☆489Updated 7 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- ☆275Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Papers for Bayesian-NN☆325Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆389Updated last year
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆573Updated 3 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆196Updated 2 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Variational Fourier Features☆85Updated 4 years ago
- ☆40Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago