57 results found Sort:

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Created 2017-05-31
246 commits to master branch, last one 4 days ago
361
3.4k
mit
102
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Created 2019-05-15
119 commits to master branch, last one about a year ago
335
2.8k
apache-2.0
37
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Created 2020-04-29
1,700 commits to master branch, last one 11 days ago
197
2.2k
mit
19
Evaluation and Tracking for LLM Experiments
Created 2020-11-02
1,172 commits to main branch, last one 16 hours ago
A collection of research papers and software related to explainability in graph machine learning.
Created 2021-06-07
129 commits to master branch, last one 2 years ago
283
1.9k
gpl-3.0
31
A library for graph deep learning research
Created 2020-10-30
1,083 commits to dig-stable branch, last one 10 months ago
310
1.6k
apache-2.0
56
Interpretability and explainability of data and machine learning models
Created 2019-07-11
602 commits to master branch, last one 5 months ago
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libr...
Created 2020-07-06
1,970 commits to main branch, last one 4 months ago
125
1.4k
mit
24
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Created 2019-07-04
1,077 commits to master branch, last one about a month ago
190
1.4k
mit
19
Generate Diverse Counterfactual Explanations for any machine learning model.
Created 2019-05-02
783 commits to main branch, last one 28 days ago
96
883
bsd-3-clause
17
OmniXAI: A Library for eXplainable AI
Created 2022-02-17
697 commits to main branch, last one 5 months ago
53
654
other
12
👋 Xplique is a Neural Networks Explainability Toolbox
Created 2020-04-05
520 commits to master branch, last one 2 months ago
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Created 2020-01-08
227 commits to master branch, last one 2 years ago
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 @ ms...
Created 2020-06-16
192 commits to master branch, last one 4 months ago
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Created 2020-12-09
121 commits to main branch, last one about a year ago
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Created 2022-03-13
45 commits to main branch, last one about a year ago
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Created 2020-01-30
357 commits to master branch, last one about a year ago
GraphXAI: Resource to support the development and evaluation of GNN explainers
Created 2021-06-16
736 commits to main branch, last one about a year ago
Explaining the output of machine learning models with more accurately estimated Shapley values
Created 2018-05-16
259 commits to master branch, last one a day ago
34
131
other
3
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Created 2020-09-21
13 commits to master branch, last one about a year ago
An Open-Source Library for the interpretability of time series classifiers
Created 2022-08-15
486 commits to main branch, last one 25 days ago
18
116
unknown
4
Fast approximate Shapley values in R
Created 2019-07-17
105 commits to master branch, last one 10 months ago
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
Created 2022-07-07
63 commits to main branch, last one about a year ago