p1ndsvin

reCAPTCHA-like-survey

CIT4DNN

maxitwo

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

DragGAN

Implementation of DragGAN: Interactive Point-based Manipulation on the Generative Image Manifold

PaperUnreliableInference

Supplementary Material for Journal Paper: To What Extent Do DNN-based Image Classification Models Make Unreliable Inferences?

tig-validity-icse23

cps-tool-competition

The repository hosts the code for the SBFT CPS Tool competition for testing autonomous cars.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

licenseplate

Browser extension helping to detect insufficiently licensed code.

VAE-SVHN

Variational Autoencoder Trained on SVHN dataset with weights.

keras-io

Keras documentation, hosted live at keras.io

sapienz

A Prototype of Sapienz (Out-of-date and no longer supported)

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

OOD-detection-using-OECC

Outlier Exposure with Confidence Control for Out-of-Distribution Detection

pnml_ood_detection

Out-of-distribution detection using the pNML regret. NeurIPS2021

GLOD

Github for the conference paper GLOD-Gaussian Likelihood OOD detector

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

FSSD_OoD_Detection

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

SAMMD

This is the source code for Maximum Mean Discrepancy Test is Aware of Adversarial Attacks (ICML2021).

ConditionalVAE

Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset

oatomobile

A research framework for autonomous driving

pytorch2keras

PyTorch to Keras model convertor

surprise-adequacy

deepmetis

COSMO

Automatically instrument gradle-based applications and generate code coverage reports

tool-competition-av

The repository hosts the code for the SBST CPS Tool competition for testing autonomous cars.

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

deepjanus

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

Download-ImageNet

Download specific classes of images from ImageNet1K

flann

Fast Library for Approximate Nearest Neighbors