Authors: S. Ghiassi, R.Birke, L.Y.Chen
Distributed System Group, Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology

## Introduction

Welcome to the repository for my thesis! This repository contains the code and datasets used in my thesis on enhancing the robustness of Deep Neural Networks (DNNs) against noisy labels. In this thesis, I explore various mechanisms and techniques to improve the performance of DNNs in scenarios where label noise is prevalent.

## Code

The code for each chapter of the thesis is available in separate directories named `chapter2`, `chapter3`, etc. Inside each directory, you will find Python files containing the code implementations corresponding to the respective chapters.

Please note that before running any code, you need to download the datasets used in the experiments. All datasets utilized in this thesis are publicly available, and you can download them from their respective sources.

## Datasets

All datasets used in the experiments are publicly available. Please download the datasets from their original sources before running the code.
