Top 8 Jupyter Notebook explainable-ai Projects

imodels

7 1,288 8.6 Jupyter Notebook

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
transformers-interpret

3 1,207 2.9 Jupyter Notebook

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
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.
OmniXAI

1 805 5.2 Jupyter Notebook

OmniXAI: A Library for eXplainable AI
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.
daam

4 596 5.5 Jupyter Notebook

Diffusion attentive attribution maps for interpreting Stable Diffusion.
diffusers-interpret

15 259 10.0 Jupyter Notebook

Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
SegGradCAM

1 94 4.2 Jupyter Notebook

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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).