👋 Xplique is a Neural Networks Explainability Toolbox
☆742Mar 31, 2026Updated last month
Alternatives and similar repositories for xplique
Users that are interested in xplique are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆103Mar 14, 2025Updated last year
- ☆15Jan 2, 2023Updated 3 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆33Jul 18, 2022Updated 3 years ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆386Updated this week
- 👋 Overcomplete is a Vision-based SAE Toolbox☆136Dec 4, 2025Updated 5 months 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.
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆74Jul 20, 2023Updated 2 years ago
- LENS Project☆52Feb 22, 2024Updated 2 years ago
- 👋 Aligning Human & Machine Vision using explainability☆54Jul 14, 2023Updated 2 years ago
- ☆40Sep 15, 2025Updated 7 months ago
- ☆16May 1, 2025Updated last year
- New implementations of old orthogonal layers unlock large scale training.☆31Sep 19, 2025Updated 7 months ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆661Apr 24, 2026Updated last week
- OmniXAI: A Library for eXplainable AI☆966Jul 23, 2024Updated last year
- 🐟 CODS - Conformal Object Detection and Segmentation☆20Dec 15, 2025Updated 4 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Learning to Estimate Shapley Values with Vision Transformers☆38Mar 4, 2026Updated 2 months ago
- Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the development…☆32Updated this week
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆26Dec 9, 2024Updated last year
- Model interpretability and understanding for PyTorch☆5,622Updated this week
- ☆17Aug 17, 2021Updated 4 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆44Apr 17, 2024Updated 2 years ago
- ✨🌲 Hierarchical extreme multiclass and multi-label classification.☆18Jan 5, 2023Updated 3 years ago
- 🪄 Interpreto is an interpretability toolbox for LLMs☆179Updated this week
- [MICCAI 2024] DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data☆20Apr 3, 2025Updated last year
- 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.
- Interpretability for sequence generation models 🐛 🔍☆465Apr 25, 2026Updated last week
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,284Mar 30, 2025Updated last year
- Code for the paper: Towards Better Understanding Attribution Methods. CVPR 2022.☆17Jun 13, 2022Updated 3 years ago
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆22Jul 4, 2024Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆243Jan 30, 2026Updated 3 months ago
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,307Apr 11, 2025Updated last year
- A collection of research materials on explainable AI/ML☆1,633Mar 7, 2026Updated last month
- Lucid library adapted for PyTorch☆655Mar 21, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Interpretability and explainability of data and machine learning models☆1,775Mar 18, 2026Updated last month
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆758Aug 25, 2020Updated 5 years ago
- Experimental toolbox for quantum Shapley values.☆10Jan 2, 2024Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 4 years ago
- Integrated Grad-CAM (submitted to ICASSP2021 conference)☆19Feb 8, 2021Updated 5 years ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆232Jul 11, 2025Updated 9 months ago
- [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize …☆1,993Jan 24, 2024Updated 2 years ago