virelay / corelayLinks
CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.
☆29Updated 6 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.☆29Updated 5 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated this week
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆140Updated 3 weeks ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Updated 3 years ago
- Dataset and code for the CLEVR-XAI dataset.☆33Updated 2 years ago
- LENS Project☆52Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆40Updated 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
- 💡 Adversarial attacks on explanations and how to defend them☆334Updated last year
- Python package for extracting representations from state-of-the-art computer vision models☆176Updated 2 months ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆636Updated 2 weeks ago
- Discount jupyter.☆51Updated 10 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 3 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆19Updated 5 months ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"☆17Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆102Updated 10 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 7 months ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆219Updated 6 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆142Updated 2 weeks ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 4 years ago
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆65Updated last week
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆19Updated last year
- Datasets derived from US census data☆276Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆71Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆226Updated 3 years ago