Alternatives and similar repositories for BayesianMnist:

Users that are interested in BayesianMnist are comparing it to the libraries listed below

• 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…
  ☆123Updated 2 years ago
• treforevans / uci_datasets
  Regression datasets from the UCI repository with standardized test-train splits.
  ☆42Updated 2 years ago
• TyXe-BDL / TyXe
  ☆148Updated 2 years ago
• cpark321 / uncertainty-deep-learning
  ☆229Updated 4 years ago
• Harry24k / bayesian-neural-network-pytorch
  PyTorch implementation of bayesian neural network [torchbnn]
  ☆509Updated 6 months ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆152Updated 2 years ago
• IntelLabs / bayesian-torch
  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
  ☆563Updated 2 weeks ago
• TeaPearce / Bayesian_NN_Ensembles
  AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
  ☆88Updated 4 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆27Updated last week
• aleximmer / heteroscedastic-nn
  Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)
  ☆19Updated last year
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆52Updated last year
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆56Updated 3 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆64Updated 5 years ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆61Updated this week
• aleximmer / BNN-predictions
  Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
  ☆17Updated 2 years ago
• AnthonyRentsch / calibrated_regression
  A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.
  ☆50Updated 5 years ago
• spdes / computational-sde-intro-lecture
  Lecture "A computational introduction to stochastic differential equations".
  ☆18Updated 2 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆495Updated last week
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆431Updated 5 months ago
• anassinator / bnn
  Bayesian Neural Network in PyTorch
  ☆83Updated 9 months ago
• ThirstyScholar / bayes-by-backprop
  " Weight Uncertainty in Neural Networks"
  ☆45Updated 7 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆76Updated 2 years ago
• ENSTA-U2IS-AI / torch-uncertainty
  Open-source framework for uncertainty and deep learning models in PyTorch
  ☆348Updated 2 weeks ago
• saxena-mayur / Weight-Uncertainty-in-Neural-Networks
  ☆37Updated 5 years ago
• TinyVolt / normalizing-flows
  Implementation of normalizing flows from 1d to Nd
  ☆32Updated 3 years ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated last year
• timrudner / S-FSVI
  Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
  ☆22Updated last year
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆97Updated 9 months ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆45Updated 4 years ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆99Updated 3 years ago