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-[Cleanlab](https://github.com/cgnorthcutt/cleanlab): A Python library for machine learning with noisy labels. It supports finding label errors in datasets and training models on noisily labeled data.
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-[Knodle](http://knodle.cc/): A modular Python framework that allows combining different classifiers, weak supervision approaches and denoising methods.
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### NLP
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-[skweak](https://github.com/NorskRegnesentral/skweak): A Python library to support weak supervision and labeling functions for sequence and text classification.
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-[ANEA](https://github.com/uds-lsv/anea): A GUI and Python library to annotate NER tags via distant supervision for many languages and entity types.
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## Data Augmentation
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-[Albumentations](https://github.com/albumentations-team/albumentations): A Python library supporting more than 70 types of image augmentation and including support for bounding boxes and keypoints.
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-[nlpaug](https://github.com/makcedward/nlpaug): A Python libraries for data augmentation for text and signal data.
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-[TextAttack](https://github.com/QData/TextAttack): A Python library for adversarial attacks and data augmentation for NLP tasks.
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