Code for the TCAV ML interpretability project

Quantitative Testing with Concept Activation Vectors in PyTorch

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

Automatic Concept Extraction and TCAV Implemented in Pytorch

Pytorch implementation of Google TCAV

TCAV Implementation in PyTorch

TCAV for NLP, published at ACL2022

"Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)" paper implementation

Quantitative Testing with Concept Activation Vectors in PyTorch

No description available

TCAV implementation, based on Pytorch1.8 and TF2.3

[ICCV' 2025] GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability

Simple implementation of "Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)", Been Kim et al., 2017

TCAV walkthrough notebook

Official TensorFlow V2 implementation of Visual-TCAV, a novel framework for post-hoc explainability in image classification.

⚙📲Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Explainable AI in Vision: Grad-CAM, Guided Grad-CAM, and TCAV implementations with slides from a University of Vienna talk.

Repository of the course project of CMU 16-824 Visual Learning and Recognition

Robust and Interpretable CNNs for Glaucoma Detection from OCT Images

No description available

A simple TCAV implementation using pytorch.

No description available

Code for explaining a DNN for predicting disease in the gastrointestinal tract using the following two concept-based XAI methods: TCAV and CRP

No description available

Implementation of Quantitative Testing with Concept Activation Vectors (TCAV)

No description available

No description available

No description available

Dissertation in Interpretable Machine Learning, University of Cambridge

No description available