koaning/whatlies
Toolkit to help understand "what lies" in word embeddings. Also benchmarking!
ArchivedProvides composable transformations (PCA, UMAP, vector algebra operations) and interactive Altair-based visualizations for embedding analysis, with support for multiple backends including spaCy, Hugging Face, fastText, and TensorFlow Hub. Implements scikit-learn compatible featurizers enabling embeddings as pipeline stages, allowing bias detection and mitigation through algebraic projection operations on embedding spaces.
475 stars. No commits in the last 6 months.
Stars
475
Forks
47
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 06, 2023
Commits (30d)
0
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