uwdb / DeepEverest
DeepEverest: a system for efficient DNN interpretation.
☆12Updated last year
Alternatives and similar repositories for DeepEverest:
Users that are interested in DeepEverest are comparing it to the libraries listed below
- Repository for "Online Active Model Selection for Pre-trained ML Classifiers"☆15Updated 2 years ago
- Data Cleaning for ML under the Certain Prediction Framework☆11Updated 3 years ago
- ☆18Updated last year
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated last year
- The code to reproduce CVPR 2021 paper "Towards Robust Classification Model by Counterfactual and Invariant Data Generation"☆17Updated 3 years ago
- Cross-field empirical trends analysis of XAI literature☆21Updated last year
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 2 years ago
- [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?☆33Updated 4 years ago
- Quantitative Testing with Concept Activation Vectors in PyTorch☆42Updated 6 years ago
- The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".☆23Updated last year
- Explanation Optimization☆13Updated 4 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated last year
- Self-Explaining Neural Networks☆40Updated 5 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 2 years ago
- Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'☆18Updated 2 years ago
- ☆44Updated 2 years ago
- This repository provides a summarization of recent empirical studies/human studies that measure human understanding with machine explanat…☆13Updated 7 months ago
- ☆17Updated 2 years ago
- ☆35Updated 2 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆17Updated 4 years ago
- Algorithms of rule extraction from neural networks☆33Updated last year
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- The official PyTorch implementation of the Iterated Integrated Attributions (IIA) method.☆9Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆63Updated 2 years ago
- RetaiL: A Simulation Framework for Monitoring and Reducing Food Waste in Grocery Stores☆18Updated last year
- ☆32Updated 3 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆48Updated last year
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago