Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Flareon: Stealthy Backdoor Injection via Poisoned Augmentation

This library is designed to augment audio data for machine learning purposes. It combines several tools and libraries for audio data augmentation and provides a unified interface that can be used to apply a large set of audio augmentations in one place.

This repository contains Python code that implements an image augmentation pipeline using the albumentations library. The pipeline performs various augmentations on input images and corresponding labels and saves the augmented images and labels in separate directories.

Morph & Split is a web app designed for augmenting images and masks, performing stratified dataset splitting, and preprocessing image-mask pairs — all optimized for efficient machine learning and computer vision workflows.

Taxonomic Entity Augmentation makes biomedical texts less repetitive

Data, models, analysis scripts, experiment materials and environments that I used for my MA thesis can be accessed in this repository.

VISION is a framework for robust and interpretable code vulnerability detection using counterfactual data augmentation. It leverages GNNs, LLM-generated counterfactuals, and graph-based explainability to mitigate spurious correlations and improve generalization on real-world vulnerabilities (CWE-20).