testingautomated-usi

testingautomated-usi's repositories

uncertainty-wizard

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.

Language:PythonMIT43 5 12

selforacle

The code of our paper "Misbehaviour Prediction for Autonomous Driving Systems", including our improved Udacity simulator

Language:PythonMIT21 8 5

deepjanus

Tools and data of the paper "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"

Language:PythonMIT15 20

dnn-tip

A collection of dnn test input prioritizers often used as benchmarks in recent literature.

Language:PythonMIT1301

surprise-adequacy

Language:PythonMIT10 4 1

DeepHyperion

Language:PythonMIT9 3 1

deepmetis

Language:PythonMIT9 30

jsep2021-replication-package-material

Language:PythonMIT5 20

simple-tip

This is the reproduction package of the paper Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning by M.Weiss and P.Tonella, published at ISSTA 2022

Language:PythonMIT400

tig-validity-icse23

Language:PythonMIT4 1 1

fashion-mnist-c

Language:PythonMIT301

maxitwo

Replication package of the paper "Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing"

Language:PythonMIT200

rl-plasticity-experiments

Source code and data for the paper "Testing the Plasticity of Reinforcement Learning Based Systems"

Language:PythonMIT2 10

bisupervised

TOSEM paper replication package

Language:PureBasicMIT100

corrupted-text

A python library to generate out-of-distribution text datasets. Specifically, the library applies model-independent, commonplace corruptions (not model-specific, worst-case adversarial corruptions). We thus aim to allow benchmark-studies regarding robustness against realistic outliers.

Language:PythonMIT100