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1. malicious_PHP_detection malicious_PHP_detection Public

   Build a system which is able predict if a given php file is malicious or benign, by using machine learning methods. To achieve this I extracted several lexical features and we chose the best among …

   PHP

2. cyber_data_analytics cyber_data_analytics Public

   Implementations for the lab assignments of Cyber Data Analytics (CS4035), a MSc course in TU Delft. The topics that we worked on are credit card fraud detection, anomaly detection in SCADA networks…

   Jupyter Notebook 2

3. kPsarakis/Image-Forgery-Detection-CNN kPsarakis/Image-Forgery-Detection-CNN Public

   Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.

   Python 154 42

4. rpytel1/clickbait-challenge rpytel1/clickbait-challenge Public

   Project aims to detect clickbaits by extracting various features from each part of article/post. Code for Clickbait Challenge Competition.

   Python 2

5. rpytel1/mathoverflow-network-analysis rpytel1/mathoverflow-network-analysis Public

   Analysis of the mathoverflow user interaction data using networks

   Jupyter Notebook 1

6. LRNavin/AutoComments LRNavin/AutoComments Public

   Description: We want to create a deep Neural Network that can automatically generate comments for code snippets passed to it. The motivation behind this is that in software development and maintena…

   Python 44 9