Alternatives and similar repositories for entropybaseduq:

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

• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆104Updated last year
• maohaos2 / PosthocUQ
  ☆14Updated 7 months ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆42Updated last year
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆39Updated last year
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆24Updated last year
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆24Updated last year
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated 7 months ago
• pandeydeep9 / EvidentialResearch2023
  Analysis of evidential models
  ☆12Updated last year
• alextimans / conformal-od
  Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)
  ☆11Updated 4 months ago
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆32Updated 5 months ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆131Updated last year
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆32Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆57Updated last year
• abonte / protopdebug
  Implementation of Concept-level Debugging of Part-Prototype Networks
  ☆11Updated last year
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆36Updated 2 months ago
• RylanSchaeffer / HarvardAM207-prior-networks
  Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks
  ☆12Updated 5 years ago
• mingukjang / TAST
  Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23
  ☆22Updated last year
• takashiishida / irreducible
  [ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classifi…
  ☆18Updated last month
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆14Updated last year
• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆60Updated last year
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• MLAI-Yonsei / CaRot
  source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
  ☆11Updated 4 months ago
• guillaumejs2403 / DiME
  Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations
  ☆23Updated 2 months ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆12Updated 9 months ago
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆28Updated 7 months ago
• QizhouWang / DOE
  ☆25Updated last year
• AmirooR / IntraOrderPreservingCalibration
  ☆11Updated 2 years ago