Alternatives and similar repositories for sngp-pytorch

Users that are interested in sngp-pytorch are comparing it to the libraries listed below

• Sheev13 / bnn-mean-field-vi
  ☆10Updated last year
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆109Updated 4 years ago
• french-paragon / BayesianMnist
  A hello world Bayesian Neural Network project on MNIST
  ☆43Updated 3 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆69Updated 5 years ago
• hakeemtonalli / deep-kernel-learning
  Implementation of deep kernels in GPyTorch and Pyro
  ☆10Updated 4 years ago
• DoctorLoop / BayesianDeepLearning
  ☆17Updated 4 years ago
• french-paragon / BayesianNeuralNetwork-Tutorial-Metarepos
  A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…
  ☆132Updated 3 years ago
• ThirstyScholar / bayes-by-backprop
  " Weight Uncertainty in Neural Networks"
  ☆49Updated 7 years ago
• aleximmer / BNN-predictions
  Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
  ☆16Updated 2 years ago
• cpark321 / uncertainty-deep-learning
  ☆238Updated 5 years ago
• IzzyBrand / PyTorch_BatchBALD
  A PyTorch implementation of BatchBALD on the MNIST dataset
  ☆13Updated 4 years ago
• mlaves / bayesian-temperature-scaling
  Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…
  ☆24Updated 5 years ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆157Updated 2 years ago
• treforevans / uci_datasets
  Regression datasets from the UCI repository with standardized test-train splits.
  ☆47Updated 3 years ago
• TinyVolt / normalizing-flows
  Implementation of normalizing flows from 1d to Nd
  ☆36Updated 4 years ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆48Updated last week
• TyXe-BDL / TyXe
  ☆152Updated 2 years ago
• JeremyNixon / uncertainty-metrics-1
  An easy-to-use interface for measuring uncertainty and robustness.
  ☆14Updated 4 years ago
• timrudner / S-FSVI
  Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
  ☆24Updated 2 years ago
• ptflores1 / DeepEvidentialRegression
  My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning
  ☆10Updated 4 years ago
• dougbrion / pytorch-deep-ensembles
  This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"
  ☆14Updated 3 years ago
• saxena-mayur / Weight-Uncertainty-in-Neural-Networks
  ☆39Updated 6 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆114Updated 4 years ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆57Updated 4 years ago
• jmaronas / TGP.pytorch
  Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021
  ☆24Updated 2 years ago
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆68Updated 9 months ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• TurboFreeze / sghmc
  Stochastic Gradient Hamiltonian Monte Carlo
  ☆14Updated 5 years ago
• AnthonyRentsch / calibrated_regression
  A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.
  ☆51Updated 5 years ago
• chenw20 / SGPA
  Example code of Sparse Gaussian Process Attention (ICLR 2023)
  ☆24Updated last year