Sklearn
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Transpile trained scikit-learn estimators to C, Java, JavaScript, Go, PHP, and Ruby for embedded systems and performance-critical applications.
A fast, robust Python library to detect offensive language in text using a machine learning model.
A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.
A fast feature selection algorithm for tree-based models like XGBoost, designed to outperform Boruta in speed and performance.
Interactive topic model visualization and interpretation library for Python, compatible with sklearn, Gensim, BERTopic, and Turftopic.
A Python library for blazing fast fuzzy and semantic text search using vectorization and approximate nearest neighbor techniques.
A Python library for generating contrastive and counterfactual explanations for machine learning models using foil trees.
Universal 1D/2D data containers with sklearn-compatible transformers for heterogeneous tabular data analysis.
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