Alternatives and similar repositories for iter_unc

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

• cvlab-epfl / zigzag
  Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)
  ☆15Updated 7 months ago
• IML-DKFZ / values
  A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
  ☆28Updated last year
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆56Updated 2 years ago
• deel-ai-papers / conformal-segmentation
  Conformal prediction for uncertainty quantification in image segmentation
  ☆23Updated 6 months ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• bmucsanyi / bud
  ☆17Updated 9 months ago
• pianoza / LayerEnsembles
  The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).
  ☆26Updated 2 years ago
• ExplainableML / BayesCap
  (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
  ☆49Updated 2 years ago
• JJGO / hyperlight
  Modular and intuitive Hypernetworks in Pytorch
  ☆37Updated last year
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆38Updated last year
• antonbaumann / MIMO-Unet
  PyTorch implementation of Probabilistic MIMO U-Net
  ☆22Updated 10 months ago
• omerb01 / puq
  Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.
  ☆24Updated last year
• alextimans / conformal-od
  Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)
  ☆12Updated 2 months ago
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• SteffenCzolbe / probabilistic_segmentation
  ☆24Updated 4 years ago
• KamilDeja / joint_diffusion
  ☆13Updated 2 years ago
• gaozhitong / MoSE-AUSeg
  The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)
  ☆28Updated last year
• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆95Updated 2 years ago
• martius-lab / beta-nll
  beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
  ☆44Updated 3 years ago
• VProv / uncertainty_example
  ☆13Updated 4 years ago
• samuelepapa / neural-field-arena
  ☆12Updated last year
• aperezlebel / beyond_calibration
  Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.
  ☆12Updated last year
• ExplainableML / UncertaintyAwareCycleConsistency
  Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.
  ☆24Updated 3 years ago
• avitase / mder
  Supplementary material to reproduce "Multivariate Deep Evidential Regression"
  ☆20Updated 3 years ago
• nikitadurasov / masksembles
  Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
  ☆101Updated 2 weeks ago
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆60Updated last month
• s-sahoo / MuLAN
  [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models
  ☆21Updated 6 months ago
• JingZhang617 / UncertaintyEstimation
  ☆49Updated 3 years ago