explanations

#算法刷题#Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.

#计算机科学#Algorithms for explaining machine learning models

#计算机科学#moDel Agnostic Language for Exploration and eXplanation

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

Everything you need to know about Shadow DOM

#计算机科学#Repository for the Explainable Deep One-Class Classification paper

#博客#Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io

#Awesome#Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

#算法刷题#A collection of common algorithms and data structures implemented in Java.

A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

A repository dedicated to showcasing best practices in Java and Spring through concise code snippets.

#计算机科学#Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022

#计算机科学#Explaining dimensionality results using SHAP values

A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).

#计算机科学#A list of research papers of explainable machine learning.

PowerShell version of explainshell.com

General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems

#计算机科学#Counterfactual SHAP: a framework for counterfactual feature importance

Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang