π Xplique is a Neural Networks Explainability Toolbox
β747Mar 31, 2026Updated 3 months ago
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
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see htβ¦β44Mar 23, 2026Updated 4 months ago
- β15Jan 2, 2023Updated 3 years ago
- π Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)β33Jul 18, 2022Updated 4 years ago
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β403Jul 10, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β76Jul 20, 2023Updated 3 years ago
- LENS Projectβ52Feb 22, 2024Updated 2 years ago
- New implementations of old orthogonal layers unlock large scale training.β31Sep 19, 2025Updated 10 months ago
- π Aligning Human & Machine Vision using explainabilityβ55Jul 14, 2023Updated 3 years ago
- π Overcomplete is a Vision-based SAE Toolboxβ148Dec 4, 2025Updated 7 months ago
- β40Sep 15, 2025Updated 10 months ago
- πͺ Interpreto is an interpretability toolbox for LLMsβ192Updated this week
- A runway dataset and a generator of synthetic aerial images with automatic labeling.β135May 12, 2026Updated 2 months ago
- β19May 1, 2025Updated last year
- 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.
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanationsβ671May 4, 2026Updated 2 months ago
- π CODS - Conformal Object Detection and Segmentationβ21Updated this week
- OmniXAI: A Library for eXplainable AIβ970Jun 2, 2026Updated last month
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ256Aug 17, 2024Updated last year
- Learning to Estimate Shapley Values with Vision Transformersβ38Mar 4, 2026Updated 4 months ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentationβ27Dec 9, 2024Updated last year
- Model interpretability and understanding for PyTorchβ5,674Updated this week
- β17Aug 17, 2021Updated 4 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 6 months ago
- Managed Kubernetes at scale on DigitalOcean β’ AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- AntakIA is THE tool to explain an ML model or replace it with a collection of basic explainable models.β14Jun 15, 2026Updated last month
- Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the developmentβ¦β34Updated this week
- β¨π² Hierarchical extreme multiclass and multi-label classification.β18Jan 5, 2023Updated 3 years ago
- Interpretability for sequence generation models π πβ471Apr 25, 2026Updated 3 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
- Code for the paper: Towards Better Understanding Attribution Methods. CVPR 2022.β17Jun 13, 2022Updated 4 years ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnosticsβ1,288Mar 30, 2025Updated last year
- Explanation Optimizationβ13Oct 16, 2020Updated 5 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β247May 13, 2026Updated 2 months ago
- 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.
- A collection of research materials on explainable AI/MLβ1,650Mar 7, 2026Updated 4 months ago
- Here I gather promising research directions to make DNNs interpretableβ17Apr 11, 2024Updated 2 years ago
- Experimental toolbox for quantum Shapley values.β10Jan 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
- [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize β¦β2,008Jan 24, 2024Updated 2 years ago