π Xplique is a Neural Networks Explainability Toolbox
β754Sep 22, 2026Updated this week
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 layersβ102Mar 14, 2025Updated last year
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β61May 19, 2026Updated 4 months ago
- β15Jan 2, 2023Updated 3 years ago
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β410Updated this week
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β76Jul 20, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean β’ AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- LENS Projectβ53Feb 22, 2024Updated 2 years ago
- New implementations of old orthogonal layers unlock large scale training.β33Sep 19, 2025Updated last year
- π Aligning Human & Machine Vision using explainabilityβ55Jul 14, 2023Updated 3 years ago
- π Overcomplete is a Vision-based SAE Toolboxβ152Dec 4, 2025Updated 9 months ago
- β40Sep 15, 2025Updated last year
- A runway dataset and a generator of synthetic aerial images with automatic labeling.β140Sep 3, 2026Updated 3 weeks ago
- β20May 1, 2025Updated last year
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanationsβ674Sep 5, 2026Updated 2 weeks ago
- π CODS - Conformal Object Detection and Segmentationβ22Jul 24, 2026Updated 2 months ago
- End-to-end encrypted cloud storage - Proton Drive β’ AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- OmniXAI: A Library for eXplainable AIβ974Jun 2, 2026Updated 3 months ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ259Aug 17, 2024Updated 2 years ago
- Learning to Estimate Shapley Values with Vision Transformersβ39Mar 4, 2026Updated 6 months ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentationβ28Dec 9, 2024Updated last year
- Model interpretability and understanding for PyTorchβ5,704Updated this week
- β17Aug 17, 2021Updated 5 years ago
- DiffuLab is designed to provide a simple and flexible way to train diffusion models while allowing full customization of its core componeβ¦β43Jan 11, 2026Updated 8 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ45Apr 17, 2024Updated 2 years ago
- Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the developmentβ¦β37Updated this week
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Interpretability for sequence generation models π πβ476Apr 25, 2026Updated 4 months ago
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatsoβ¦β22Jul 4, 2024Updated 2 years ago
- A toolbox to iNNvestigate neural networks' predictions!β1,308Apr 11, 2025Updated last year
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnosticsβ1,286Mar 30, 2025Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β248May 13, 2026Updated 4 months ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]β251Aug 11, 2026Updated last month
- A collection of research materials on explainable AI/MLβ1,656Aug 19, 2026Updated last month
- Lucid library adapted for PyTorchβ665Mar 21, 2025Updated last year
- Interpretability and explainability of data and machine learning modelsβ1,804Sep 5, 2026Updated 2 weeks ago
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Here I gather promising research directions to make DNNs interpretableβ17Apr 11, 2024Updated 2 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also inβ¦β759Aug 25, 2020Updated 6 years ago
- Experimental toolbox for quantum Shapley values.β11Jan 2, 2024Updated 2 years ago
- Integrated Grad-CAM (submitted to ICASSP2021 conference)β19Feb 8, 2021Updated 5 years ago
- A lightweight implementation of removal-based explanations for ML models.β59Jul 19, 2021Updated 5 years ago
- A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measureβ15Jan 5, 2024Updated 2 years ago
- Detect model's attentionβ176Jul 2, 2020Updated 6 years ago