marcotcr / lime-experiments
Code for all experiments.
☆314Updated 3 years ago
Alternatives and similar repositories for lime-experiments:
Users that are interested in lime-experiments are comparing it to the libraries listed below
- Code for "High-Precision Model-Agnostic Explanations" paper☆798Updated 2 years ago
- ☆133Updated 5 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆744Updated 4 years ago
- ☆124Updated 3 years ago
- ☆912Updated last year
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆222Updated 4 years ago
- Public facing deeplift repo☆850Updated 2 years ago
- LOcal Rule-based Exlanations☆51Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆611Updated 2 years ago
- ☆785Updated 4 years ago
- Code and documentation for experiments in the TreeExplainer paper☆183Updated 5 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 3 years ago
- Experiments for AAAI anchor paper☆61Updated 7 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆130Updated 4 years ago
- ☆264Updated 5 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆117Updated 3 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆174Updated last year
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆332Updated 2 years ago
- Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…☆217Updated 6 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆87Updated 2 years ago
- H2O.ai Machine Learning Interpretability Resources☆485Updated 4 years ago
- Python implementation of the rulefit algorithm☆414Updated last year
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 8 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)☆38Updated 10 years ago
- Comparing fairness-aware machine learning techniques.☆160Updated 2 years ago
- ☆99Updated 6 years ago