A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
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A game theoretic approach to explain the output of any machine learning model.
A tool for analyzing the size of compiled Go binaries, offering cross-platform support, detailed breakdowns, and multiple output formats.
A sidecar output widget for JupyterLab
Jupyter server extension to sync a git repository one-way to a local path
manim cell magic for IPython/Jupyter to show the output video
Analysis of TrackMate XML outputs in R
Functions for the input/output and visualization of medical imaging data that follow either the ANALYZE, NIfTI or AFNI formats.