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38 search results found

Interpret ⭐ 5,992

Fit interpretable models. Explain blackbox machine learning.

Awesome Machine Learning Interpretability ⭐ 3,241

A curated list of awesome responsible machine learning resources.

Generate Diverse Counterfactual Explanations for any machine learning model.

Dalex ⭐ 1,242

moDel Agnostic Language for Exploration and eXplanation

Omnixai ⭐ 674

OmniXAI: A Library for eXplainable AI

Mli Resources ⭐ 405

H2O.ai Machine Learning Interpretability Resources

Explainx ⭐ 375

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]

Xaience ⭐ 100

All about explainable AI, algorithmic fairness and more

Fastshap ⭐ 96

Fast approximate Shapley values in R

Tsinterpret ⭐ 83

An Open-Source Library for the interpretability of time series classifiers

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

Explainable Machine Learning in Survival Analysis

Ml Fairness Framework ⭐ 68

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

Talktomodel ⭐ 68

TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

Xai Iml Sota ⭐ 50

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

Prototree ⭐ 46

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

XAI based human-in-the-loop framework for automatic rule-learning.

Model Agnostic Counterfactual Explanations

a tool for comparing the predictions of any text classifiers

A Python package with explanation methods for extraction of feature interactions from predictive models

Diabetes_use_case ⭐ 19

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

Genetic programming method for explaining complex black-box models

Xai Scholar ⭐ 16

Cross-field empirical trends analysis of XAI literature

Variable importance via oscillations

Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Awesome Time Series Explainability ⭐ 11

A list of (post-hoc) XAI for time series

Article Information 2019 ⭐ 10

Article for Special Edition of Information: Machine Learning with Python

Learning Scaffold ⭐ 9

This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"

Jsm_2018_paper ⭐ 8

Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlinepro

Explore/examine/explain/expose your model with the explabox!

Deep learning for personalized interpretability for compositional health data

Interpretablesdmwithjulia ⭐ 6

Slides for the "Interpretable SDM with Julia" workshop

Distillml ⭐ 5

An R package providing functions for interpreting and distilling machine learning models

Robust regression algorithm that can be used for explaining black box models (Python implementation)

Robust regression algorithm that can be used for explaining black box models (R implementation)

Xai Papers ⭐ 5

Xi Method ⭐ 5

1-38 of 38 search results

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