testingautomated-usi / uncertainty-wizardLinks
Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.
☆45Updated 2 years ago
Alternatives and similar repositories for uncertainty-wizard
Users that are interested in uncertainty-wizard are comparing it to the libraries listed below
Sorting:
- Tools and data of the paper "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"☆15Updated last year
- Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"☆49Updated 3 years ago
- ☆13Updated 3 years ago
- The code of our paper "Misbehaviour Prediction for Autonomous Driving Systems", including our improved Udacity simulator☆22Updated 4 years ago
- A collection of dnn test input prioritizers often used as benchmarks in recent literature.☆18Updated 2 years ago
- DeepCrime - Mutation Testing Tool for Deep Learning Systems☆15Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- ☆10Updated 4 years ago
- ☆25Updated 4 years ago
- ETH Robustness Analyzer for Deep Neural Networks☆344Updated 2 years ago
- PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)☆30Updated last year
- Coverage-Guided Testing of Long Short-Term Memory (LSTM) Networks☆18Updated 4 years ago
- ☆44Updated 5 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Updated 4 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Updated 3 years ago
- Concolic Testing for Deep Neural Networks☆119Updated 4 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆267Updated 2 months ago
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆27Updated 6 years ago
- Taxonomy of Real Faults in Deep Learning Systems☆16Updated 5 years ago
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- A library for performing coverage guided fuzzing of neural networks☆214Updated 7 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆162Updated 3 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Pytorch implementation of various neural network interpretability methods☆119Updated 3 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆177Updated 2 years ago
- This repository contains the artifacts accompanied by the paper "Fair Preprocessing"☆13Updated 4 years ago
- ☆86Updated 5 months ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 3 years ago