⬛ Python Individual Conditional Expectation Plot Toolbox
created at Dec. 2, 2015, 3:49 p.m.
A library that implements fairness-aware machine learning algorithms
created at Aug. 26, 2017, 8:15 p.m.
A library of metrics for evaluating recommender systems
created at Oct. 15, 2018, 3:29 p.m.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
created at Feb. 23, 2023, 5:16 p.m.
Use evolutionary algorithms instead of gridsearch in scikit-learn
created at Oct. 28, 2015, 10:52 p.m.
Synthetic data generators for tabular and time-series data
created at May 4, 2020, 3:52 p.m.
Python package for Bayesian Machine Learning with scikit-learn API
created at July 30, 2015, 3:15 a.m.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
created at Nov. 25, 2020, 3:20 p.m.