Top 6 Jupyter Notebook explainability Projects

shap

38 21,580 9.4 Jupyter Notebook

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

Project mention: Shap v0.45.0 | news.ycombinator.com | 2024-03-08

shapash

8 2,642 8.6 Jupyter Notebook

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Project mention: GitHub - MAIF/shapash: Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models | /r/learnmachinelearning | 2023-06-26

InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Transformer-Explainability

1 1,660 0.0 Jupyter Notebook

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Transformer-MM-Explainability

3 701 0.0 Jupyter Notebook

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
augmented-interpretable-models

1 37 7.4 Jupyter Notebook

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
CWOX

1 8 5.9 Jupyter Notebook

A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.

Project mention: Two-Stage Contrastive Whole Output Explaination (CWOX-2s) | news.ycombinator.com | 2023-06-13

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).