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Fit interpretable models. Explain blackbox machine learning.
Created
2019-05-03
3,694 commits to main branch, last one 5 days 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
1,301 commits to master branch, last one 5 days ago
moDel Agnostic Language for Exploration and eXplanation
Created
2018-02-18
689 commits to master branch, last one 2 months ago
Generate Diverse Counterfactual Explanations for any machine learning model.
Created
2019-05-02
783 commits to main branch, last one 5 months ago
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Created
2022-04-29
441 commits to main branch, last one 23 days ago
OmniXAI: A Library for eXplainable AI
Created
2022-02-17
697 commits to main branch, last one 9 months ago
This repository has no description...
Created
2017-12-27
86 commits to master branch, last one 4 years ago
[HELP REQUESTED] Generalized Additive Models in Python
Created
2017-01-19
714 commits to master branch, last one about a year ago
Interesting resources related to XAI (Explainable Artificial Intelligence)
Created
2018-10-17
195 commits to master branch, last one 3 years ago
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Created
2018-03-14
169 commits to master branch, last one 2 years ago
Shapley Interactions and Shapley Values for Machine Learning
Created
2023-10-17
892 commits to main branch, last one 7 days 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 8 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
404 commits to master branch, last one 3 months ago
📍 Interactive Studio for Explanatory Model Analysis
Created
2019-07-10
361 commits to master branch, last one about a year ago
💡 Adversarial attacks on explanations and how to defend them
Created
2020-07-30
124 commits to master branch, last one 4 months ago
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Created
2022-02-15
15 commits to main branch, last one 2 years ago
Concept Bottleneck Models, ICML 2020
Created
2020-03-10
32 commits to master branch, last one 2 years ago
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Created
2022-01-29
47 commits to main branch, last one about a year ago
PyTorch Explain: Interpretable Deep Learning in Python.
Created
2021-04-10
139 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 4 months ago
A list of (post-hoc) XAI for time series
Created
2023-11-27
100 commits to main branch, last one 7 months ago
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
Created
2022-06-07
124 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
Fast approximate Shapley values in R
Created
2019-07-17
105 commits to master branch, last one about a year ago
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 Classif...
Created
2021-09-30
10 commits to main branch, last one about a year ago
[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
Created
2024-06-20
25 commits to main branch, last one 7 months ago
Explainable Machine Learning in Survival Analysis
r
xai
shap
cox-model
r-package
brier-scores
biostatistics
censored-data
time-to-event
cox-regression
explainable-ai
explainable-ml
interpretable-ml
machine-learning
survival-analysis
variable-importance
explanatory-model-analysis
explainable-machine-learning
interpretable-machine-learning
probabilistic-machine-learning
Created
2022-08-31
480 commits to main branch, last one 10 months ago
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
Created
2022-01-08
216 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
Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
Created
2022-10-07
333 commits to main branch, last one about a year ago