Mechanistic understanding and validation of large AI models with SemanticLens
☆55Aug 23, 2026Updated last month
Alternatives and similar repositories for semanticlens
Users that are interested in semanticlens are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyPI package for DualXDA for efficient data attribution and feature-level explanations of training data influence☆22Mar 6, 2026Updated 7 months ago
- A toolkit for quantitative evaluation of data attribution methods.☆61Sep 30, 2026Updated 2 weeks ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆141Jan 14, 2026Updated 9 months ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆254Aug 11, 2026Updated 2 months ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Jan 17, 2024Updated 2 years 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.
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆29Nov 3, 2025Updated 11 months ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆17Aug 30, 2026Updated last month
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆20Aug 30, 2026Updated last month
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆21Jan 28, 2026Updated 8 months ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 4 years ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆60Nov 3, 2024Updated last year
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆394Oct 7, 2026Updated last week
- ☆14Jun 12, 2023Updated 3 years ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆17Aug 7, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆18Sep 19, 2024Updated 2 years ago
- Explaining the unique nature of individual gait patterns with deep learning☆28Jan 18, 2021Updated 5 years ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆65Nov 6, 2023Updated 2 years ago
- [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks☆14May 2, 2025Updated last year
- Prototyping about eXplainable Artificial Inteligence (XAI)☆25Jan 5, 2023Updated 3 years ago
- GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Netwo…☆28Apr 23, 2026Updated 5 months ago
- Pruning CNN using CNN with toy example☆23Jun 21, 2021Updated 5 years ago
- Dataset and code for the CLEVR-XAI dataset.☆35Oct 3, 2023Updated 3 years ago
- Mapping out the "memory" of neural nets with data attribution☆101Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official PyTorch implementation for Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability [Neur…☆17Jul 7, 2025Updated last year
- Implementation of PatchSAE as presented in "Sparse autoencoders reveal selective remapping of visual concepts during adaptation"☆34Apr 22, 2026Updated 5 months ago
- [Nature Communications 2024] Improving deep neural network generalization and robustness to background bias via layer-wise relevance prop…☆21May 21, 2025Updated last year
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆16Sep 20, 2024Updated 2 years ago
- [Nature Biomedical Engineering 2026] An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-trai…☆59Sep 28, 2026Updated 2 weeks ago
- Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2022/2023☆16Aug 8, 2023Updated 3 years ago
- ☆14Jul 5, 2023Updated 3 years ago
- Official repository for "A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human …☆28Feb 6, 2024Updated 2 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Aug 22, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for the experiments and websites of the paper "Same Task, Different Circuits"☆38Jul 21, 2026Updated 2 months ago
- This repository contains the code used for the experiments in the paper "Language Models use Lookbacks to Track Beliefs".☆17Mar 14, 2026Updated 7 months ago
- Code for the paper "Refining Language Model with Compositional Explanation" (NeurIPS 2021)☆11Oct 25, 2021Updated 4 years ago
- Official implementation of "Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models"☆15Mar 27, 2026Updated 6 months ago
- ☆18May 14, 2026Updated 5 months ago
- ☆10Oct 31, 2023Updated 2 years ago
- Prototypical Additive Neural Network for Interpretable Classification☆15Dec 4, 2023Updated 2 years ago