Scikit Learn
Showing 12 of 84 projects
A Python toolbox for auditing machine learning models to detect and quantify bias in black-box predictions.
Predicts Bitcoin price trends using an LSTM-RNN with technical indicators for automated trading via the Binance API.
An intelligent data search and enrichment library for machine learning that automatically finds and adds relevant external features to ML pipelines.
A Python package for exploring, modeling, and visualizing neighborhood and regional change over time using geospatial data.
A joblib backend that enables Python parallel computing tasks to run on Apache Spark clusters.
A Python library for stacked generalization (ensemble learning) that supports scikit-learn, XGBoost, and Keras models with out-of-fold prediction saving.
A Python machine learning and informatics suite for analyzing, mining, and modeling chemical and materials data.
A Python implementation of individual conditional expectation plots for visualizing machine learning model predictions.
A machine learning tool for quantitative risk analysis of Android apps by analyzing declared and actual permission usage.
Interactive topic model visualization and interpretation library for Python, compatible with sklearn, Gensim, BERTopic, and Turftopic.
A Python library implementing fairness-aware machine learning algorithms for measuring and mitigating discrimination in predictive models.
A toolkit for evaluating and monitoring machine learning models in clinical healthcare settings.
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