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An r package for generating beautiful and customizable heatmaps
Transparent Reporting of Ethics for Generative AI (TREGAI) Checklist
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
Data Shapley: Equitable Valuation of Data for Machine Learning
For calculating Shapley values via linear regression.
Generalized Optimal Sparse Decision Trees
This repo contains the PyTorch implementation of the SNAS-Series papers
Naszilla is a Python library for neural architecture search (NAS)
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Python workflow for generating benchmark datasets and machine learning models from the MIMIC-IV-ED database.
ShapleyVIC: Shapley Variable Importance Cloud for Interpretable Machine Learning
A game theoretic approach to explain the output of any machine learning model.
Code and documentation for experiments in the TreeExplainer paper
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
Explaining the output of machine learning models with more accurately estimated Shapley values
AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator
Calculates model reliance, model class reliance, and other functions for Rashomon sets
R code for paper "Individual and population trajectories of influenza antibody titers over multiple seasons in tropical Singapore"
For calculating global feature importance using Shapley values.
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Create a Gephi Citation Graph based on Text Analysis of PDFs from Zotero
Ruby gem for scraping Google Scholar's search results.