stefanoteso / awesome-explanatory-supervision
List of relevant resources for machine learning from explanatory supervision
β152Updated 2 months ago
Related projects: β
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" π§ (ICLR 2019)β124Updated 3 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.β126Updated 4 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systemsβ73Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniquesβ55Updated last year
- A repository for summaries of recent explainable AI/Interpretable ML approachesβ55Updated 2 weeks ago
- β32Updated 3 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" htβ¦β125Updated 3 years ago
- Local explanations with uncertainty π!β38Updated last year
- Towards Automatic Concept-based Explanationsβ154Updated 4 months ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.β185Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)β75Updated last year
- All about explainable AI, algorithmic fairness and moreβ107Updated 11 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ227Updated last month
- PyTorch Explain: Interpretable Deep Learning in Python.β136Updated 4 months ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Humanβ¦β69Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.β45Updated last year
- Neural Additive Models (Google Research)β67Updated 2 years ago
- LOcal Rule-based Exlanationsβ47Updated 9 months ago
- β123Updated 3 years ago
- This is a collection of papers and other resources related to fairness.β90Updated last year
- Model Agnostic Counterfactual Explanationsβ86Updated last year
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119β¦β101Updated 5 months ago
- Self-Explaining Neural Networksβ38Updated 4 years ago
- Concept Bottleneck Models, ICML 2020β171Updated last year
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help β¦β22Updated last year
- β121Updated 8 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithmsβ274Updated 11 months ago
- A lightweight implementation of removal-based explanations for ML models.β56Updated 3 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.β180Updated 2 years ago
- π‘ Adversarial attacks on explanations and how to defend themβ291Updated 6 months ago