A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 馃洜
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Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Feature engineering and selection open-source Python library compatible with sklearn.
馃 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
馃浉 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Pandas integration with sklearn
State-of-the-Art Embeddings, Retrieval, and Reranking
