Code for the TCAV ML interpretability project
☆655Jul 22, 2026Updated last month
Alternatives and similar repositories for tcav
Users that are interested in tcav are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Towards Automatic Concept-based Explanations☆165May 1, 2024Updated 2 years ago
- Concept activation vectors for Keras☆14Mar 24, 2023Updated 3 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Mar 25, 2022Updated 4 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Nov 28, 2018Updated 7 years ago
- Invertible Concept-based Explanation (ICE)☆19Oct 29, 2025Updated 10 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆119Nov 21, 2022Updated 3 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆997Mar 20, 2024Updated 2 years ago
- ☆52Aug 29, 2020Updated 6 years ago
- Concept Bottleneck Models, ICML 2020☆259Feb 24, 2023Updated 3 years ago
- This repository contains the code for implementing Bidirectional Relevance scores for Digital Histopathology, which was used for the resu…☆16Mar 24, 2023Updated 3 years ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,702Feb 6, 2023Updated 3 years ago
- Showing the relationship between ImageNet ID and labels and pytorch pre-trained model output ID and labels☆10Oct 11, 2020Updated 5 years ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆455Aug 25, 2018Updated 8 years ago
- Public facing deeplift repo☆881Apr 28, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A toolbox to iNNvestigate neural networks' predictions!☆1,308Apr 11, 2025Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆16Jun 11, 2020Updated 6 years ago
- DISSECT: Disentangled Simultaneous Explanations via Concept Traversals☆12Feb 5, 2024Updated 2 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Feb 8, 2018Updated 8 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 7 years ago
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,035Jun 3, 2024Updated 2 years ago
- Pytorch implementation of Google TCAV☆10Jan 11, 2019Updated 7 years ago
- ☆124Mar 15, 2022Updated 4 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆759Aug 25, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Fit interpretable models. Explain blackbox machine learning.☆6,946Sep 14, 2026Updated last week
- Source code/webpage/demos for the What-If Tool☆1,014Jun 21, 2026Updated 2 months ago
- Explaining Image Classifiers by Counterfactual Generation☆27Apr 23, 2022Updated 4 years ago
- Interpretability and explainability of data and machine learning models☆1,804Sep 5, 2026Updated 2 weeks ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆818Jul 19, 2022Updated 4 years ago
- ☆226Oct 25, 2020Updated 5 years ago
- Research code for auditing and exploring black box machine-learning models.☆134May 24, 2023Updated 3 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆221May 6, 2019Updated 7 years ago
- ☆134Aug 7, 2019Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Lime: Explaining the predictions of any machine learning classifier☆12,163Jul 25, 2024Updated 2 years ago
- ☆24Sep 28, 2021Updated 4 years ago
- A curated list of awesome responsible machine learning resources.☆4,070Jun 3, 2026Updated 3 months ago
- Algorithms for explaining machine learning models☆2,645Oct 17, 2025Updated 11 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,764Updated this week
- Attributing predictions made by the Inception network using the Integrated Gradients method☆653Feb 23, 2022Updated 4 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 6 years ago