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moDel Agnostic Language for Exploration and eXplanation
Created
2018-02-18
687 commits to master branch, last one 2 months 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
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
nlp
xai
data-mining
text-mining
text-labeling
ss3-classifier
interpretability
interpretable-ml
machine-learning
text-classification
early-classification
artificial-intelligence
document-categorization
document-classification
sentence-classification
multilabel-classification
machine-learning-algorithms
natural-language-processing
interpretable-machine-learning
explainable-artificial-intelligence
Created
2019-11-11
402 commits to master branch, last one about a year 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
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomal...
python
sensor
pytorch
variation
correlation
multisensor
sensor-data
time-series
tabular-data
data-analysis
deep-learning
visualization
anomaly-detection
feature-selection
signal-processing
feature-engineering
deep-neural-networks
multidimensional-data
anamoly-detection-using-graphs
explainable-artificial-intelligence
Created
2021-02-03
52 commits to main branch, last one 3 years ago
An Open-Source Library for the interpretability of time series classifiers
Created
2022-08-15
486 commits to main branch, last one 26 days 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
All about explainable AI, algorithmic fairness and more
Created
2019-05-26
84 commits to master branch, last one about a year ago
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
Created
2017-06-11
44 commits to master branch, last one 3 years ago
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Created
2020-07-30
232 commits to master branch, last one 11 months ago
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
Created
2022-08-31
21 commits to main branch, last one 2 years ago
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
iml
xai
explainable
researchers
explaining-ai
interpretable
explainable-ml
interpretability
machine-learning
human-in-the-loop
explainable-models
explanation-methods
interpretable-models
interpretable-learning
model-interpretability
deep-learning-visualization
interactive-machine-learning
interpretable-machine-learning
human-in-the-loop-machine-learning
explainable-artificial-intelligence
Created
2019-06-27
102 commits to master branch, last one 2 years ago
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Created
2023-03-24
15 commits to main branch, last one 10 months ago
Model verification, validation, and error analysis
Created
2017-11-10
534 commits to master branch, last one about a year ago
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
Created
2022-08-05
26 commits to master branch, last one 11 days ago
Deep Insight And Neural Network Analysis
Created
2021-07-06
2,206 commits to main branch, last one 17 days ago
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
Created
2022-04-06
14 commits to master branch, last one 10 months ago
This is a list of awesome prototype-based papers for explainable artificial intelligence.
Created
2022-08-31
14 commits to main branch, last one 2 years ago
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
Created
2022-08-22
14 commits to main branch, last one 2 years ago
Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. NeurIPS 2024.
Created
2024-10-04
9 commits to main branch, last one 7 days ago