๐Ÿท Labelling#

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๐Ÿ”ซ Zero-shot and few-shot classification with SetFit

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification
Libraries: setfit, sentence transformers
Techniques: Few-shot

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๐Ÿ’จ Speed-up data labelling with Sentence Transformer embeddings

MLOps Steps: Labelling
NLP Tasks: TextClassification
Libraries: Argilla, sentence-transformers
Techniques: Semantic search

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

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification
Libraries: setfit
Techniques: Few-shot

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๐Ÿ—บ๏ธ Adding bias-equality features to text with disaggregators

MLOps Steps: Labelling
NLP Tasks: Text2Text
Libraries: Disaggregators
Techniques: Explainability

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๐Ÿ’ก Building and testing a zero-shot sentiment classifier with GPT-3 and Argilla

MLOps Steps: Labelling
NLP Tasks: TextClassification
Libraries: OpenAI
Techniques: Few-shot, Explainability

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๐Ÿ’ซ Explore and analyze spaCy NER pipelines

MLOps Steps: Labelling
NLP Tasks: TokenClassification (NER)
Libraries: spaCy
Techniques: Explainability

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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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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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๐Ÿญ Weakly supervised NER with skweak

MLOps Steps: Labelling, Training
NLP Tasks: TokenClassification (NER)
Libraries: Argilla, skweak
Techniques: Weak Supervision

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๐Ÿ”ซ Zero-shot NER with Flair

MLOps Steps: Labelling
NLP Tasks: TokenClassification (NER)
Libraries: FlAIr
Techniques: Zero-shot classifcation

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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