A library for debugging/inspecting machine learning classifiers and explaining their predictions
MIT License
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and...
Natural Intelligence is still a pretty good idea.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...
General Assembly's 2015 Data Science course in Washington, DC
Data science tools for exploration, visualization, and model iteration.
Implementations of the machine learning algorithm with Python and numpy
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model...
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Tiny implementation of important algorithms in scikit-learn. Useful when understanding ML algorit...
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ELIH: Explain Machine Learning predictions like I'm a human