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Quickstart

Tutorials

The Workflows of Data-centric AI for Classification with Noisy Labels
Image Classification with PyTorch and Cleanlab
Text Classification with TensorFlow, Keras, and Cleanlab
Classification with Tabular Data using Scikit-Learn and Cleanlab
Audio Classification with SpeechBrain and Cleanlab
Find Dataset-level Issues for Dataset Curation
Detect Outliers with Cleanlab and PyTorch Image Models (timm)
Improve Consensus Labels for Multiannotator Data
Find Label Errors in Multi-Label Classification Datasets
Find Label Errors in Token Classification (Text) Datasets
Computing Out-of-Sample Predicted Probabilities with Cross-Validation
FAQ

API Reference

classification
filter
rank
count
dataset
outlier
multiannotator
multilabel_classification
token_classification
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- filter
- rank
- summary
benchmarking
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- noise_generation
experimental
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- keras
- fasttext
- mnist_pytorch
- coteaching
- cifar_cnn
internal
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Guides

How to contribute
Migrating to v2.x

Links

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v1.0.1

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token_classification#

filter
rank
summary

multilabel_classification

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