Cluster 637157

9 repos

Python · 5

Jupyter Notebook · 4

interpretability ·54,786

explainability ·54,786

machine-learning ·54,786

shap ·54,776

deep-learning ·51,520

gradient-boosting ·51,520

shapley ·51,520

python ·3,686

explainable-ml ·3,256

lime ·3,256

Related clusters

Cluster 6365972 Text Embeddings and Information Retrieval19 Neural Network Mechanistic Interpretability22 Gradient Boosting Machine Learning16 Cluster 63395531 Cluster 63458834

shap/shap

A game theoretic approach to explain the output of any machine learning model.

Jupyter Notebook

25,760

2,914 commits

slundberg/shap

A game theoretic approach to explain the output of any machine learning model.

Jupyter Notebook

25,760

2,914 commits

MAIF/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent…

Jupyter Notebook

3,256

1,495 commits

interpretml/interpret-text

A library that incorporates state-of-the-art explainers for text-based machine learning models and…

Python

430

143 commits

dianna-ai/dianna

Deep Insight And Neural Network Analysis

Jupyter Notebook

2,036 commits

dmah10/EvalxNLP

EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models

Python

7 commits

fzarnecki/xai_sentiment

Explain predictions of sentiment analysis model.

Python

5 commits

AshifulRidoy/XAI-on-HateBERT

A Streamlit-based explainable AI (XAI) interface for exploring predictions from HateBERT — a…

Python

4 commits

warisgill/TraceFL

TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking…

Python

5 commits