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Projects in Awesome Lists by utkuozbulak
A curated list of projects in awesome lists by utkuozbulak .
https://github.com/utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
cam cnn-visualization deep-dream grad-cam gradient gradient-visualization guided-backpropagation guided-grad-cam pytorch saliency segmentation smooth-grad
Last synced: 19 Dec 2024
https://github.com/utkuozbulak/pytorch-custom-dataset-examples
Some custom dataset examples for PyTorch
Last synced: 21 Dec 2024
https://github.com/utkuozbulak/pytorch-cnn-adversarial-attacks
Pytorch implementation of convolutional neural network adversarial attack techniques
adversarial-example fast-gradient-sign fooling-images gradient-ascent pytorch pytorch-tutorial
Last synced: 18 Dec 2024
https://github.com/utkuozbulak/unsupervised-learning-document-clustering
Document clustering and topic modelling with Python
Last synced: 09 Nov 2024
https://github.com/utkuozbulak/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).
adversarial-examples segmentation u-net
Last synced: 09 Nov 2024
https://github.com/utkuozbulak/facial-expression-recognition
Predicting facial expressions with machine learning algorithms
Last synced: 09 Nov 2024
https://github.com/utkuozbulak/singular-value-decomposition-on-images
Singular Value Decomposition on rgb and grayscale images
Last synced: 09 Nov 2024
https://github.com/utkuozbulak/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).
Last synced: 09 Nov 2024
https://github.com/utkuozbulak/ucl-dssc-hackaton
Winning project of 2017 University College London Data Science Hackathon
Last synced: 09 Nov 2024
https://github.com/utkuozbulak/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).
adversarial-attacks localized-adversarial-perturbation lp-norms regional-adversarial-attacks
Last synced: 09 Nov 2024
https://github.com/utkuozbulak/mutate-and-observe
Materials for the paper (Bioinformatics) "Mutate and Observe: Utilizing Deep Neural Networks to Investigate the Impact of Mutations on Translation Initiation"
Last synced: 09 Nov 2024