TeodorChiaburu / beexplainableLinks
XAI Experiments on an Annotated Dataset of Wild Bee Images
☆19Updated last month
Alternatives and similar repositories for beexplainable
Users that are interested in beexplainable are comparing it to the libraries listed below
Sorting:
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆16Updated 3 years ago
- Detect model's attention☆168Updated 5 years ago
- ☆122Updated 3 years ago
- Official PyTorch implementation of improved B-cos models☆54Updated last month
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆136Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆68Updated 2 years ago
- [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…☆34Updated 2 years ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆39Updated last year
- NumPy library for calibration metrics☆73Updated last month
- Easy to use class balanced cross entropy and focal loss implementation for Pytorch☆99Updated 10 months ago
- Reliability diagrams visualize whether a classifier model needs calibration☆159Updated 3 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆220Updated 3 years ago
- A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore Nationa…☆45Updated 5 years ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- Self-Supervised Learning in PyTorch☆141Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆32Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆106Updated 3 years ago
- ☆20Updated 5 years ago
- As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm i…☆99Updated last month
- ☆23Updated 7 months ago
- PyTorch implementation of FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence☆12Updated 4 years ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Updated 4 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆53Updated 3 months ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 7 months ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 4 years ago