label-errors

Here are 5 public repositories matching this topic...

encord-team / encord-active

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

python data-science data machine-learning computer-vision deep-learning data-validation annotations ml object-detection data-cleaning active-learning data-quality data-centric mlops noisy-labels model-quality label-errors label-quality

Updated May 23, 2025
Python

cleanlab / label-errors

Star

🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet

benchmarking machine-learning datasets label-errors

Updated Dec 16, 2025

autonlab / aqua

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AQuA: A Benchmarking Tool for Label Quality Assessment, NeurIPS'23 D&B

data-science machine-learning data-cleaning robust-machine-learning label-errors data-centric-ai

Updated Oct 17, 2023
Jupyter Notebook

ananya2712 / label_cleaner

Star

Analysis of label prop errors in ML pipelines and their impact on accuracy+demographic parity

interpretability explainable-ml responsible-ai ml-pipelines datascope label-errors

Updated Jul 21, 2026
Python

ParitKansal / label-error-capture-recapture

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Can capture-recapture count the benchmark label errors nobody found? Two pre-registered experiments on MMLU-Redux with LLM judges and confident learning (negative result).

benchmark capture-recapture confident-learning pre-registration label-errors mmlu llm-as-a-judge negative-result

Updated Oct 7, 2026
Jupyter Notebook

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