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
- A collection of dnn test input prioritizers often used as benchmarks in recent literature.☆18Updated 2 years ago
- The code of our paper "Misbehaviour Prediction for Autonomous Driving Systems", including our improved Udacity simulator☆22Updated 4 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
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago
- Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approac…☆53Updated 7 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
- Reliability diagrams visualize whether a classifier model needs calibration☆158Updated 3 years ago
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 2 years ago
- DeepCrime - Mutation Testing Tool for Deep Learning Systems☆15Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 2 years ago
- ☆10Updated 4 years ago
- ☆44Updated 5 years ago
- ☆25Updated 4 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆295Updated 2 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- A library for performing coverage guided fuzzing of neural networks☆213Updated 7 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 months ago
- `mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis…☆80Updated 3 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Updated 2 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆333Updated 3 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆138Updated 4 years ago
- Taxonomy of Real Faults in Deep Learning Systems☆16Updated 5 years ago