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Fit interpretable models. Explain blackbox machine learning.
Created
2019-05-03
3,509 commits to develop branch, last one 21 hours 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 20 days ago
moDel Agnostic Language for Exploration and eXplanation
Created
2018-02-18
687 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 10 days ago
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Created
2022-04-29
435 commits to main branch, last one about a month ago
This repository has no description...
Created
2017-12-27
86 commits to master branch, last one 4 years ago
OmniXAI: A Library for eXplainable AI
Created
2022-02-17
697 commits to main branch, last one 4 months ago
[HELP REQUESTED] Generalized Additive Models in Python
Created
2017-01-19
714 commits to master branch, last one 9 months ago
Interesting resources related to XAI (Explainable Artificial Intelligence)
Created
2018-10-17
195 commits to master branch, last one 2 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 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
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
📍 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 3 days 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 about a year ago
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Created
2022-01-29
47 commits to main branch, last one 9 months 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 8 days ago
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
Created
2022-06-07
124 commits to master branch, last one 5 months ago
Fast approximate Shapley values in R
Created
2019-07-17
105 commits to master branch, last one 9 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
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 8 months ago
All about explainable AI, algorithmic fairness and more
Created
2019-05-26
84 commits to master branch, last one about a year 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 5 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 11 months 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
A list of (post-hoc) XAI for time series
Created
2023-11-27
100 commits to main branch, last one 3 months ago
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Created
2020-12-02
12 commits to main branch, last one 2 years 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 2 months ago