A provenance tree generator for recursive Datalog with negation (and Dedalus).
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Updated
Jun 23, 2018 - Python
A provenance tree generator for recursive Datalog with negation (and Dedalus).
Python/C++/Go solutions to some leetcode challenges
EXPLORER - EXPLanation Oriented query Reverse EngineeRing
Leetcode, Algorithms, CTCI
A PyTorch based implementation of MMD-critic
This is my tutorial to help those that want to learn how to code that have no prior experience.
A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
A human-centric explainable approach for fake news spreading detection on Twitter threads
Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs
[Python] Code repository for the paper "A Deep Adversarial Framework for Visually Explainable Periocular Recognition" - CVPR 2021 Biometrics Workshop
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch
Here are the commented code solutions and explanations to each of the problems from the 2023 Junior Canadian Computing Challenge competition. All solutions were created by Amolgorithm.
Repository for the Explainable Deep One-Class Classification paper
InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。
A recsys for healthy recipes, integrated into a telegram chatbot and focused on persuasive explanations to encourage users to adopt healthier eating habits.
moDel Agnostic Language for Exploration and eXplanation
Algorithms for explaining machine learning models
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