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38 search results found

Pytorch Grad Cam ⭐ 8,723

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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.

Aix360 ⭐ 1,533

Interpretability and explainability of data and machine learning models

Generate Diverse Counterfactual Explanations for any machine learning model.

Dalex ⭐ 1,242

moDel Agnostic Language for Exploration and eXplanation

XAI - An eXplainability toolbox for machine learning

Xplique ⭐ 522

👋 Xplique is a Neural Networks Explainability Toolbox

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]

Tf Keras Vis ⭐ 286

Neural network visualization toolkit for tf.keras

Fastshap ⭐ 96

Fast approximate Shapley values in R

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"

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

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 💬!

Awesome Shapley Value ⭐ 63

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

Xai Iml Sota ⭐ 50

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

Xplainable ⭐ 48

Real-time explainable machine learning for business optimisation

Yolo Heatmaps ⭐ 32

A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).

Model Agnostic Counterfactual Explanations

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/

a tool for comparing the predictions of any text classifiers

Genetic programming method for explaining complex black-box models

Dlime_experiments ⭐ 16

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Xai Scholar ⭐ 16

Cross-field empirical trends analysis of XAI literature

Variable importance via oscillations

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

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

Recourse ⭐ 12

Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831

Article Information 2019 ⭐ 10

Article for Special Edition of Information: Machine Learning with Python

Jsm_2018_paper ⭐ 8

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

Xai Analytics ⭐ 7

XAI-Analytics is a tool that opens the black-box of machine learning. It helps the user to understand the decision-making process of machine learning models.

Explainable Ml Papers ⭐ 5

A list of research papers of explainable machine learning.

Keras Explainable ⭐ 5

Efficient explaining AI algorithms for Keras models

Xi Method ⭐ 5

1-38 of 38 search results

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