Utku Ozbulak

pytorch-cnn-visualizations. Pytorch implementation of convolutional neural network visualization techniques

pytorch-custom-dataset-examples. Some custom dataset examples for PyTorch

pytorch-cnn-adversarial-attacks. Pytorch implementation of convolutional neural network adversarial attack techniques

unsupervised-learning-document-clustering. Document clustering and topic modelling with Python

adaptive-segmentation-mask-attack. Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

facial-expression-recognition. Predicting facial expressions with machine learning algorithms

pytorch-simple-diffusion. Python

singular-value-decomposition-on-images. Singular Value Decomposition on rgb and grayscale images

imagenet-adversarial-image-evaluation. Code 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 Reality Check on Misclassification Classes" (NeurIPS 2021, Workshop track).

regional-adversarial-perturbation. Code and materials for the paper "Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability" (ICML 2020, UDL).

SpurBreast. Code, dataset, and materials from the paper "SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification" (MICCAI 2025).

UCL-DSSC-Hackaton. Winning project of 2017 University College London Data Science Hackathon

mutate-and-observe. Materials for the paper (Bioinformatics) "Mutate and Observe: Utilizing Deep Neural Networks to Investigate the Impact of Mutations on Translation Initiation"

Unet-Segmentation-Pytorch-Nest-of-Unets. Implementation of different kinds of Unet Models for Image Segmentation

svp-generative-ai. Python

utkuozbulak.

bio_training. Python

pytorch-semantic-segmentation. PyTorch for Semantic Segmentation

Data-Science-for-COVID-19. DS4C: Data Science for COVID-19 in South Korea

PlotNeuralNet. Latex code for making neural networks diagrams

Awesome-pytorch-list. A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-self-supervised-learning. A curated list of awesome self-supervised methods

pytorch-cifar100. Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)