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xai
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Machine Learning in one line of code
machine-learning
tensorflow
ml
pytorch
artificial-intelligence
ludwig
automl
explainable-ai
explainable-ml
xai
xai-library
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Aug 20, 2020 - Python
A curated list of awesome machine learning interpretability resources.
python
data-science
machine-learning
data-mining
awesome
r
awesome-list
transparency
fairness
accountability
interpretability
interpretable-deep-learning
interpretable-ai
interpretable-ml
explainable-ml
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
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Aug 19, 2020
data-science
machine-learning
interpretable-ai
interpretable-ml
explainable-ai
xai
interpretable-machine-learning
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Jul 9, 2020 - Python
Algorithms for monitoring and explaining machine learning models
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Aug 19, 2020 - Python
moDel Agnostic Language for Exploration and eXplanation
black-box
data-science
machine-learning
predictive-modeling
interpretability
explainable-artificial-intelligence
explanations
explainable-ai
explainable-ml
xai
model-visualization
interpretable-machine-learning
iml
dalex
explanatory-model-analysis
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Aug 18, 2020 - Python
Interpretability and explainability of data and machine learning models
machine-learning
deep-learning
artificial-intelligence
ibm-research
explainable-ai
explainable-ml
xai
ibm-research-ai
codait
trusted-ai
trusted-ml
explainabil
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Updated
Aug 17, 2020 - Python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
python
data-science
machine-learning
data-mining
h2o
gradient-boosting-machine
transparency
decision-tree
fairness
lime
accountability
interpretability
interpretable-ai
interpretable-ml
xai
fatml
interpretable
interpretable-machine-learning
iml
machine-learning-interpretability
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Aug 11, 2020 - Jupyter Notebook
XAI - An eXplainability toolbox for machine learning
machine-learning
ai
evaluation
ml
artificial-intelligence
upsampling
bias
interpretability
feature-importance
explainable-ai
explainable-ml
xai
imbalance
downsampling
explainability
bias-evaluation
machine-learning-explainability
xai-library
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Oct 5, 2019 - Python
Interesting resources related to XAI (Explainable Artificial Intelligence)
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Jul 5, 2020 - R
H2O.ai Machine Learning Interpretability Resources
python
data-science
machine-learning
data-mining
h2o
xgboost
transparency
jupyter-notebooks
fairness
accountability
interpretability
interpretable-ai
interpretable-ml
explainable-ml
mli
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
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Updated
May 22, 2020 - Jupyter Notebook
Generate Diverse Counterfactual Explanations for any machine learning model.
machine-learning
deep-learning
explainable-ai
explainable-ml
xai
interpretable-machine-learning
counterfactual-explanations
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Updated
Aug 18, 2020 - Python
A Python package implementing a new model for text classification with visualization tools for Explainable AI
nlp
machine-learning
natural-language-processing
text-mining
data-mining
text-classification
machine-learning-algorithms
artificial-intelligence
document-classification
sentence-classification
interpretability
multilabel-classification
explainable-artificial-intelligence
interpretable-ml
xai
interpretable-machine-learning
document-categorization
early-classification
text-labeling
ss3-classifier
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Updated
Aug 19, 2020 - Python
Layer-wise Relevance Propagation (LRP) for LSTMs
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Updated
Apr 24, 2020 - Python
machine-learning
predictive-modeling
interactive-visualizations
interpretability
explainable-artificial-intelligence
explainable-ai
explainable-ml
xai
model-visualization
interpretable-machine-learning
iml
explainability
explanatory-model-analysis
explainable-machine-learning
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Updated
Aug 17, 2020 - R
Pytorch Implementation of recent visual attribution methods for model interpretability
pytorch
explanation
excitation
interpretability
saliency
interpretable-deep-learning
xai
visual-explanations
model-interpretability
excitation-backpropagation
patternnet
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Feb 27, 2020 - Jupyter Notebook
Model Agnostics breakDown plots
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Updated
Apr 4, 2020 - R
A curated list of awesome Fairness in AI resources
machine-learning
ai
deep-learning
bias
fairness
interpretability
adversarial-learning
xai
gender-bias
fairness-packages
prediction-outcome-discrimination
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Updated
Jul 3, 2020
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
machine-learning
explore
explain
examine
xai
model-visualization
predictive-models
explanatory-model-analysis
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Aug 18, 2020 - Jupyter Notebook
ExplainX is a fast, light-weight, and scalable explainable AI framework for data scientists to explain and debug any black-box model.
python
machine-learning
ai
artificial-intelligence
trust
transparency
blackbox
bias
interpretability
explainable-artificial-intelligence
interpretable-ai
explainable-ai
xai
interpretable-machine-learning
explainx
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Aug 19, 2020 - Jupyter Notebook
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
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Aug 4, 2020 - R
Model verification, validation, and error analysis
machine-learning
classification
regression-models
model-validation
error-analysis
residuals
explainable-artificial-intelligence
xai
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Updated
May 28, 2020 - R
Detect model's attention
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Jul 2, 2020 - Jupyter Notebook
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
contrastive
counterfactual
explainable-ai
explainable-ml
xai
interpretable-machine-learning
fairness-ai
aif360
fairness-ml
alibi
prototypical
aix360
fairness-indicators
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Jun 5, 2020 - Jupyter Notebook
Fast approximate Shapley values in R
variable-importance
explainable-ai
explainable-ml
xai
shapley
interpretable-machine-learning
shapley-values
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Feb 2, 2020 - R
explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.
dashboard
plotly
dash
data-scientists
model-predictions
interactive-plots
interactive-dashboards
xai
inner-workings
shap
explainer
xai-library
shap-values
permutation-importances
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Jul 24, 2020 - Jupyter Notebook
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
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Aug 21, 2019 - R
Minimal starting point for rapid prototyping interactive Human-AI tools
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Feb 3, 2020 - HTML
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
python
data-science
machine-learning
data-mining
healthcare
xgboost
transparency
interpretability
interpretable-ml
explainable-ml
xai
interpretable-machine-learning
iml
machine-learning-interpretability
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Sep 7, 2018 - Jupyter Notebook
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
machine-learning
human-in-the-loop
interpretability
explainable-artificial-intelligence
researchers
interactive-machine-learning
deep-learning-visualization
human-in-the-loop-machine-learning
explainable-ml
xai
interpretable
interpretable-machine-learning
iml
model-interpretability
explainable
interpretable-models
explainable-models
interpretable-learning
explaining-ai
explanation-methods
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Updated
Aug 18, 2020 - R
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