CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.
☆32Apr 30, 2026Updated 5 months ago
Alternatives and similar repositories for corelay
Users that are interested in corelay are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆31Apr 30, 2026Updated 5 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆248May 13, 2026Updated 4 months ago
- Explainable AI in Julia.☆118Sep 22, 2026Updated 2 weeks ago
- Python package for extracting representations from state-of-the-art computer vision models☆180Nov 12, 2025Updated 10 months ago
- sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model☆169Jun 13, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 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
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆17Aug 30, 2026Updated last month
- A package for density functional approximation using machine learning.☆28Sep 18, 2020Updated 6 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆141Jan 14, 2026Updated 8 months ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆16Jan 16, 2024Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆60Sep 30, 2026Updated last week
- PyPI package for DualXDA for efficient data attribution and feature-level explanations of training data influence☆22Mar 6, 2026Updated 7 months ago
- Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation (ECCV 2024 ORAL)☆17Sep 3, 2024Updated 2 years ago
- The official repository containing the source code to the explAIner publication.☆33Apr 29, 2024Updated 2 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.
- SchNetPack - Deep Neural Networks for Atomistic Systems☆942Updated this week
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆126Mar 22, 2021Updated 5 years ago
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆677Sep 5, 2026Updated last month
- Official codebase for the NeurIPS 2023 paper: Towards Last-layer Retraining for Group Robustness with Fewer Annotations. https://arxiv.or…☆12May 15, 2024Updated 2 years ago
- Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image represe…☆13Feb 22, 2022Updated 4 years ago
- ☆11Mar 10, 2021Updated 5 years ago
- Disguising Attacks with Explanation-Aware Backdoors (IEEE S&P 2023)☆12Jan 3, 2026Updated 9 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆46Apr 17, 2024Updated 2 years ago
- Mixture of drifting t-distribution model for sorting spikes and measuring unit isolation☆11Jan 13, 2020Updated 6 years 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.
- A toolbox to iNNvestigate neural networks' predictions!☆1,308Apr 11, 2025Updated last year
- Code for paper "Out-of-Domain Robustness via Targeted Augmentations"☆14Feb 25, 2023Updated 3 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆32Sep 25, 2019Updated 7 years ago
- Maximum Entropy toolbox for MATLAB☆15Mar 28, 2019Updated 7 years ago
- ☆15Nov 3, 2025Updated 11 months ago
- This repository includes the code to reproduce our paper [Explainable deepfake and spoofing detection: an attack analysis using SHapley A…☆12Jan 24, 2024Updated 2 years ago
- [NeurIPS 2025] Official PyTorch implementation of paper "Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression".☆16Oct 24, 2025Updated 11 months ago
- A lightweight kmer-based algorithm for designing diagnostic CRISPR assays using genome data.☆13Aug 19, 2024Updated 2 years ago
- [3DV 2020] PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction☆41May 21, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆60Nov 3, 2024Updated last year
- ☆35Jun 22, 2021Updated 5 years ago
- Code/figures in Right for the Right Reasons☆56Dec 29, 2020Updated 5 years ago
- Official code for "Good Teachers Explain: Explanation-enhanced Knowledge Distillation". ECCV 2024☆20Oct 30, 2024Updated last year
- A python library for self-supervised learning☆12Nov 17, 2025Updated 10 months ago
- AD backends for LogDensityProblems.jl.☆14Sep 29, 2026Updated last week
- This repository contains the code for all figures in the paper "General Pitfalls of Model-agnostic Interpretation Methods for Machine Lea…☆15Aug 17, 2021Updated 5 years ago