kyle-dorman / bayesian-neural-network-blogpostLinks
Building a Bayesian deep learning classifier
☆490Updated 8 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
Sorting:
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆574Updated 3 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago
- Papers for Bayesian-NN☆326Updated 6 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆315Updated 6 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆631Updated 3 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,537Updated last year
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆473Updated 2 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- ☆239Updated 5 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆254Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 9 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆355Updated 8 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆710Updated 5 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆139Updated 7 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago
- Play time!☆197Updated last year
- " Weight Uncertainty in Neural Networks"☆49Updated 7 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆550Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Updated 5 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Updated 7 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆206Updated 3 years ago
- A curated list of resources dedicated to bayesian deep learning☆417Updated 8 years ago