📍 Interactive Studio for Explanatory Model Analysis
-
Updated
Aug 31, 2023 - R
📍 Interactive Studio for Explanatory Model Analysis
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon Lee. 26th ACM SIGKDD Int’l Conf. on Knowledge Discovery and Data Mining (KDD)
explainable
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
Explainable Machine Learning (Thessaloniki Machine Learning Meetup)
Python framework for explainable omics analysis
Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)
Project scheduling engine for Rust
A curated list of papers on explainability and interpretability of self-driving models
Create beautiful, interactive charts for explainable AI using MLFlow
CT scan machine learning models including AxialNet and HiResCAM
A 🐶🐱 explanation of generative neural nets
A runtime monitoring tool that produces explanations as verdicts
Structural Causal Model (SCM) approach to explainable reinforcement learning
Open-source personal income tax calculation engine in Python. Every number is a tax-form line, and every result explains itself in a readable trace.
Final report and implementation of my systems to help groups make decisions using arguments
To associate your repository with the explainable topic, visit your repo's landing page and select "manage topics."