-
Ghent University
- Incheon, South Korea
- utkuozbulak.github.io
Pinned Loading
-
pytorch-cnn-visualizations
pytorch-cnn-visualizations PublicPytorch implementation of convolutional neural network visualization techniques
-
mutate-and-observe
mutate-and-observe PublicMaterials for the paper (Bioinformatics) "Mutate and Observe: Utilizing Deep Neural Networks to Investigate the Impact of Mutations on Translation Initiation"
Python 4
-
pytorch-custom-dataset-examples
pytorch-custom-dataset-examples PublicSome custom dataset examples for PyTorch
-
adaptive-segmentation-mask-attack
adaptive-segmentation-mask-attack PublicPre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
-
pytorch-cnn-adversarial-attacks
pytorch-cnn-adversarial-attacks PublicPytorch implementation of convolutional neural network adversarial attack techniques
-
imagenet-adversarial-image-evaluation
imagenet-adversarial-image-evaluation PublicCode and some materials from the papers "Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks" (BMVC 2021) and "Evaluating Adversarial Attacks on ImageNet:A Realit…
Python 11
If the problem persists, check the GitHub status page or contact support.