Alternatives and similar repositories for masksembles:

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

• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆83Updated 3 years ago
• JanRocketMan / regression-prior-networks
  An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.
  ☆36Updated 4 years ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆39Updated last year
• icml-mcbn / mcbn
  ☆53Updated 6 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆30Updated 2 years ago
• DLR-RM / curvature
  Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
  ☆30Updated 4 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆36Updated last year
• fregu856 / ebms_regression
  Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …
  ☆97Updated 4 years ago
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆74Updated 3 years ago
• janisgp / Sampling-free-Epistemic-Uncertainty
  Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"
  ☆94Updated last year
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• fregu856 / evaluating_bdl
  Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
  ☆131Updated 4 years ago
• happenwah / FVI_CV
  Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020
  ☆66Updated 4 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆69Updated 4 years ago
• yliess86 / BayeFormers
  General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…
  ☆42Updated 4 years ago
• AKuzina / DWP
  Pytorch implementation of the DWP with application to MRI segmentation
  ☆9Updated 4 years ago
• KaosEngineer / PriorNetworks
  ☆66Updated 5 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• IntelLabs / AVUC
  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
  ☆55Updated 2 years ago
• ExplainableML / BayesCap
  (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
  ☆49Updated 2 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 2 years ago
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆272Updated 3 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆86Updated 2 years ago
• atilberk / evidential-deep-learning-to-quantify-classification-uncertainty
  Work on Evidential Deep Learning to Quantify Classification Uncertainty
  ☆60Updated 6 years ago
• akwasigroch / Pretext-Invariant-Representations
  Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
  ☆89Updated 4 years ago