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Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Created
2017-05-31
244 commits to master branch, last one about a month ago
Fit interpretable models. Explain blackbox machine learning.
Created
2019-05-03
3,497 commits to develop branch, last one a day ago
A curated list of awesome responsible machine learning resources.
r
xai
python
awesome
fairness
ai-safety
secure-ml
reliable-ai
awesome-list
data-science
transparency
explainable-ml
interpretability
interpretable-ai
interpretable-ml
machine-learning
interpretable-machine-learning
privacy-enhancing-technologies
machine-learning-interpretability
privacy-preserving-machine-learning
Created
2018-06-21
1,165 commits to master branch, last one 7 days ago
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
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Created
2020-04-29
1,692 commits to master branch, last one 23 days ago
Evaluation and Tracking for LLM Experiments
Created
2020-11-02
1,143 commits to main branch, last one a day 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
A library for graph deep learning research
Created
2020-10-30
1,083 commits to dig-stable branch, last one 9 months ago
Interpretability and explainability of data and machine learning models
Created
2019-07-11
602 commits to master branch, last one 4 months ago
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Created
2019-07-04
1,077 commits to master branch, last one 14 days 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 3 months ago
moDel Agnostic Language for Exploration and eXplanation
Created
2018-02-18
687 commits to master branch, last one about a month ago
Generate Diverse Counterfactual Explanations for any machine learning model.
Created
2019-05-02
779 commits to main branch, last one 7 months ago
XAI - An eXplainability toolbox for machine learning
Created
2019-01-11
91 commits to master branch, last one 3 years ago
OmniXAI: A Library for eXplainable AI
Created
2022-02-17
697 commits to main branch, last one 4 months ago
👋 Xplique is a Neural Networks Explainability Toolbox
Created
2020-04-05
520 commits to master branch, last one about a month ago
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Created
2020-01-08
227 commits to master branch, last one about a year ago
Examples of Data Science projects and Artificial Intelligence use-cases
Created
2019-08-10
204 commits to master branch, last one about a year 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 3 months ago
Neural network visualization toolkit for tf.keras
Created
2019-10-31
395 commits to master branch, last one 8 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
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
📦 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
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
250 commits to master branch, last one 6 days ago
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Created
2022-04-29
87 commits to master branch, last one 2 years ago
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
451 commits to main branch, last one 3 months ago
Fast approximate Shapley values in R
Created
2019-07-17
105 commits to master branch, last one 9 months ago
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, pro...
Created
2021-10-26
22 commits to main branch, last one about a year ago