๐Ÿท Labeling#

โœจ Add zero-shot suggestions using SetFit

MLOps Steps: Labelling
NLP Tasks: Text Classification
Libraries: SetFit
Techniques: zero-shot

๐Ÿฉน Delete labels from a Token or Text Classification dataset

MLOps Steps: Labelling
NLP Tasks: TextClassification, TokenClassfication
Libraries: Argilla
Techniques: Basics

๐Ÿ—‚๏ธ Assign records to your annotation team

MLOps Steps: Labelling
NLP Tasks: TextClassification, TokenClassfication, Text2Text
Libraries: Argilla
Techniques: Basics

๐Ÿ“ธ Bulk Labelling Multimodal Data

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

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

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

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

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

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

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

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

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

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

๐Ÿ’ซ Explore and analyze spaCy NER pipelines

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

๐Ÿ“ฐ Building a news classifier with weak supervision

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

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

๐Ÿงฑ Extending weak supervision workflows with sentence embeddings

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

๐Ÿญ Weakly supervised NER with skweak

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

๐Ÿ”ซ Zero-shot NER with Flair

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

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