lkopf / cosy
CoSy: Evaluating Textual Explanations
☆16Updated 2 months ago
Alternatives and similar repositories for cosy:
Users that are interested in cosy are comparing it to the libraries listed below
- ☆11Updated 3 months ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆39Updated 5 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated last year
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆14Updated last year
- Layer-Wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆146Updated 3 weeks ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆222Updated 8 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆124Updated 10 months ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆13Updated last month
- LENS Project☆47Updated last year
- A toolkit for quantitative evaluation of data attribution methods.☆44Updated this week
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆77Updated 10 months ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆51Updated 3 weeks ago
- ☆11Updated last year
- ☆11Updated 2 months ago
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆28Updated this week
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆62Updated last year
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆25Updated last year
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆89Updated 2 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆62Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆107Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 4 years ago
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆14Updated 10 months ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆94Updated last year
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆19Updated last year
- A benchmark for distribution shift in tabular data☆52Updated 10 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆204Updated 2 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 2 years ago