virelay / corelayLinks
CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.
☆28Updated 2 months ago
Alternatives and similar repositories for corelay
Users that are interested in corelay are comparing it to the libraries listed below
Sorting:
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆27Updated last month
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆233Updated 2 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆131Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆39Updated last year
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Updated 3 years ago
- Dataset and code for the CLEVR-XAI dataset.☆32Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated last year
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22Updated 2 years ago
- Mechanistic understanding and validation of large AI models with SemanticLens☆35Updated last week
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆18Updated 3 months ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆624Updated 2 months ago
- h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations☆16Updated last year
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- A Python package for intrinsic dimension estimation☆93Updated 3 weeks ago
- Python package for extracting representations from state-of-the-art computer vision models☆171Updated last month
- Reliability diagrams visualize whether a classifier model needs calibration☆158Updated 3 years ago
- LENS Project☆50Updated last year
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆100Updated 6 months ago
- A fairness library in PyTorch.☆30Updated last year
- ☆25Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆217Updated 3 years ago
- ☆122Updated 3 years ago
- ☆18Updated 2 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆44Updated this week
- Algorithms for computations on random manifolds made easier☆93Updated last year