Alternatives and similar repositories for conformal-od

Users that are interested in conformal-od are comparing it to the libraries listed below

• deel-ai-papers / conformal-segmentation
  Conformal prediction for uncertainty quantification in image segmentation
  ☆23Updated 5 months ago
• avitase / mder
  Supplementary material to reproduce "Multivariate Deep Evidential Regression"
  ☆20Updated 3 years ago
• fregu856 / regression_uncertainty
  Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.
  ☆18Updated last year
• bmucsanyi / bud
  ☆17Updated 9 months ago
• ENSTA-U2IS-AI / LDU
  Latent Discriminant deterministic Uncertainty [ECCV2022]
  ☆41Updated 2 years ago
• cvlab-epfl / iter_unc
  Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
  ☆16Updated 10 months ago
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated 11 months ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆13Updated last year
• maohaos2 / PosthocUQ
  ☆17Updated 11 months ago
• ENSTA-U2IS-AI / MUAD-Dataset
  MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
  ☆33Updated 11 months ago
• lisa-wm / entropybaseduq
  ☆10Updated 2 months ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆38Updated last year
• fiveai / saod
  The official implementation of Self-aware Object Detection [CVPR 2023]
  ☆13Updated last year
• pasteurlabs / unreasonable_effective_der
  Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
  ☆27Updated 2 years ago
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆60Updated 3 weeks ago
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆35Updated 2 years ago
• bat-sheva / Conformal-Learning
  ☆25Updated 3 years ago
• antonbaumann / MIMO-Unet
  PyTorch implementation of Probabilistic MIMO U-Net
  ☆21Updated 9 months ago
• aperezlebel / beyond_calibration
  Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.
  ☆12Updated last year
• deeplearning-wisc / siren
  source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"
  ☆33Updated 2 years ago
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆18Updated last year
• uncbiag / LTS
  Local Temperature Scaling for Probability Calibration
  ☆21Updated 3 years ago
• valeoai / obsnet
  ☆34Updated 2 years ago
• naver / trex
  PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"
  ☆19Updated 2 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆141Updated 2 years ago
• by-liu / CALS
  Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2…
  ☆23Updated 2 years ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• orientino / dum-components
  Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML
  ☆12Updated last year
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆66Updated 6 months ago