stefanoteso / awesome-explanatory-supervisionLinks
List of relevant resources for machine learning from explanatory supervision
☆161Updated 5 months ago
Alternatives and similar repositories for awesome-explanatory-supervision
Users that are interested in awesome-explanatory-supervision are comparing it to the libraries listed below
Sorting:
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆192Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 8 years ago
- Optimal Transport Dataset Distance☆173Updated 3 years ago
- Self-Explaining Neural Networks☆43Updated 5 years ago
- Local explanations with uncertainty 💐!☆41Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- This is a collection of papers and other resources related to fairness.☆94Updated last month
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆84Updated last week
- An amortized approach for calculating local Shapley value explanations☆104Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Towards Automatic Concept-based Explanations☆161Updated last year
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆64Updated 5 years ago
- A curated list of awesome Fairness in AI resources☆329Updated 2 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆74Updated 3 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 10 months ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago