๐Ÿ“•๐Ÿ“— Text Classification#

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Monitoring Inference Predictions FastAPI

MLOps Steps: Deploying, Monitoring
NLP Tasks: TextClassification, TokenClassification (NER)
Libraries: spaCy, FastAPI, transformers

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๐Ÿ” Using modAL for Active Learning

MLOps Steps: Training
NLP Tasks: TextClassification
Libraries: modAL
Techniques: Active Learning

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๐Ÿ“ฐ Building a news classifier with weak supervision

MLOps Steps: Labelling
NLP Tasks: TextClassification (news)
Libraries: Argilla, snorkel, sklearn
Techniques: Weak Supervision

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๐Ÿ—‚ Weak supervision in multi-label text classification tasks

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification (multi-label)
Libraries: Argilla, scikit-multilearn
Techniques: Weak Supervision

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๐Ÿง Find label errors with cleanlab

MLOps Steps: Training, Monitoring
NLP Tasks: TextClassification
Libraries: cleanlab
Techniques: explainability

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๐Ÿ•ต๏ธโ€โ™€๏ธ Analyzing predictions with model explainability methods

MLOps Steps: Monitoring
NLP Tasks: TextClassification
Libraries: shap, transformers-interpret
Techniques: Explainability

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๐Ÿงผ Clean labels using your model loss

MLOps Steps: Monitoring
NLP Tasks: TextClassification
Libraries: Argilla, transformers
Techniques: Explainability

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๐Ÿงฑ Extending weak supervision workflows with sentence embeddings

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification
Libraries: Argilla, sentence-transformers
Techniques: Weak Supervision

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๐Ÿคฏ Few-shot classification with SetFit and a custom dataset

MLOps Steps: Training
NLP Tasks: TextClassification
Libraries: setfit
Techniques: few-shot

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๐Ÿ‘‚ Active learning for text classification with small-text

MLOps Steps: Training
NLP Tasks: TextClassification
Libraries: small-text
Techniques: Active Learning

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๐Ÿท๏ธ Label your data to fine-tune a classifier with Hugging Face

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification (sentiment)
Libraries: transformers
Techniques: basics