marcotcr / lime-experimentsLinks
Code for all experiments.
☆320Updated 4 years ago
Alternatives and similar repositories for lime-experiments
Users that are interested in lime-experiments are comparing it to the libraries listed below
Sorting:
- Python code for training fair logistic regression classifiers.☆192Updated 3 years ago
- ☆135Updated 6 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆809Updated 3 years ago
- ☆124Updated 4 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆640Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆160Updated 2 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆225Updated 5 years ago
- python tools to check recourse in linear classification☆77Updated 4 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Updated 4 years ago
- ☆797Updated 4 years ago
- ☆918Updated 2 years ago
- ☆100Updated 7 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆334Updated 3 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆62Updated 6 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆505Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 2 years ago
- Python numba implementation of Zemel et al. 2013☆26Updated 5 years ago
- Code and documentation for experiments in the TreeExplainer paper☆189Updated 6 years ago
- ☆264Updated 5 years ago
- CostSensitiveClassification Library in Python☆205Updated 5 years ago
- Supervised Local Modeling for Interpretability☆29Updated 7 years ago
- Experiments for AAAI anchor paper☆65Updated 7 years ago
- Public facing deeplift repo☆868Updated 3 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆759Updated 5 years ago
- Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)☆40Updated 11 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 7 years ago
- Multiple-Instance Support Vector Machines☆245Updated 5 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 4 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆55Updated 7 years ago