kyle-dorman / bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
☆487Updated 7 years ago
Alternatives and similar repositories for bayesian-neural-network-blogpost:
Users that are interested in bayesian-neural-network-blogpost are comparing it to the libraries listed below
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆567Updated 2 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 5 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆174Updated 2 years ago
- Bayesian Deep Learning Benchmarks☆667Updated last year
- Papers for Bayesian-NN☆318Updated 5 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆311Updated 6 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 7 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆456Updated last year
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆358Updated 5 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,480Updated 10 months ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆210Updated 5 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆152Updated 2 years ago
- Implementing Bayes by Backprop☆183Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆617Updated 2 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- ☆230Updated 4 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 5 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆271Updated 2 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆345Updated 7 years ago
- A curated list of resources dedicated to bayesian deep learning☆415Updated 7 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Updated 5 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆376Updated 8 years ago
- Lecture notes on Bayesian deep learning☆483Updated 7 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆135Updated 7 years ago
- Bayesian Neural Network in PyTorch☆83Updated 9 months ago
- A PyTorch library for two-sample tests☆238Updated last year
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆193Updated last year
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,877Updated last year
- Dropout As A Bayesian Approximation: Code☆201Updated 9 years ago