siemens / simatic-ai-launcher
Get started with the toolbox of SIMATIC Artificial Intelligence Launcher.
☆14Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for simatic-ai-launcher
- Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)☆56Updated 2 years ago
- As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm i…☆83Updated 2 weeks ago
- Multivariate Anomaly Detection with Interpretability (MADI) published in ICML 2020☆75Updated 2 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆30Updated 6 months ago
- a tool for comparing the predictions of any text classifiers☆25Updated 2 years ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆641Updated last month
- CoSy: Evaluating Textual Explanations☆14Updated last month
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆27Updated this week
- h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations☆15Updated 11 months ago
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆27Updated 2 years ago
- This repository contains codes to explain One-Dimensional Convolutional Neural Networks (1D-CNN) using Layer-wise Relevance Propagation.☆12Updated 3 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆118Updated 5 months ago
- A Python framework for the quantitative evaluation of eXplainable AI methods☆16Updated last year
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆73Updated 2 years ago
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆67Updated last year
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 3 months ago
- Dataset and code for the CLEVR-XAI dataset.☆28Updated last year
- ☆18Updated 2 years ago
- TorchEsegeta: Interpretability and Explainability pipeline for PyTorch☆19Updated 8 months ago
- ☆33Updated 4 months ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆182Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆56Updated last year
- bayesian lime☆16Updated 3 months ago
- Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'☆24Updated last year
- ☆16Updated last year
- Explainable Artificial Intelligence through Contextual Importance and Utility☆25Updated 2 months ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆32Updated 2 years ago
- OmniXAI: A Library for eXplainable AI☆875Updated 3 months ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆281Updated last year