π Xplique is a Neural Networks Explainability Toolbox
β761Oct 13, 2026Updated 3 weeks 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
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β62May 19, 2026Updated 5 months ago
- This library allow to compute global sensitivity indices in the context of fairness measurements.β10Mar 29, 2023Updated 3 years ago
- π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)β77Jul 20, 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
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- LENS Projectβ55Feb 22, 2024Updated 2 years ago
- β15Jan 2, 2023Updated 3 years ago
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β414Updated this week
- πͺ Interpreto is an interpretability toolbox for LLMsβ209Updated this week
- π Overcomplete is a Vision-based SAE Toolboxβ155Dec 4, 2025Updated 11 months 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
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanationsβ680Oct 26, 2026Updated last week
- β21May 1, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A runway dataset and a generator of synthetic aerial images with automatic labeling.β141Sep 3, 2026Updated 2 months ago
- π CODS - Conformal Object Detection and Segmentationβ22Jul 24, 2026Updated 3 months ago
- OmniXAI: A Library for eXplainable AIβ975Jun 2, 2026Updated 5 months 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 9 months ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentationβ28Dec 9, 2024Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ261Aug 17, 2024Updated 2 years ago
- Model interpretability and understanding for PyTorchβ5,719Updated this week
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.β248May 13, 2026Updated 5 months ago
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)β22Jan 19, 2023Updated 3 years 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.
- MetaQuantus is an XAI performance tool to identify reliable evaluation metricsβ46Apr 17, 2024Updated 2 years ago
- Learning to Estimate Shapley Values with Vision Transformersβ38Mar 4, 2026Updated 8 months ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnosticsβ1,287Mar 30, 2025Updated last year
- A toolbox to iNNvestigate neural networks' predictions!β1,311Apr 11, 2025Updated last year
- Detect model's attentionβ176Jul 2, 2020Updated 6 years ago
- A collection of research materials on explainable AI/MLβ1,662Aug 19, 2026Updated 2 months ago
- Dataset and code for the CLEVR-XAI dataset.β35Oct 3, 2023Updated 3 years ago
- Interpretability for sequence generation models π πβ477Oct 22, 2026Updated last week
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2β¦β32Jan 6, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available β’ AdRun AI, ML, and HPC workloads on powerful cloud GPUsβwithout limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- AntakIA is THE tool to explain an ML model or replace it with a collection of basic explainable models.β14Jun 15, 2026Updated 4 months ago
- β17Aug 17, 2021Updated 5 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networksβ1,779Oct 26, 2026Updated last week
- Balancing Gradient Flow for Universally Better Vision Transformer Attributionsβ13Nov 27, 2024Updated last year
- Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the developmentβ¦β40Updated this week
- Lucid library adapted for PyTorchβ668Mar 21, 2025Updated last year
- Algorithms for explaining machine learning modelsβ2,651Oct 17, 2025Updated last year