augmentation-pipeline

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.

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).

Problem Statement-1: Multilingual NCERT Doubt-Solver using OPEA-based RAG Pipeline. A multilingual doubt-solving system for Grades 5–10 built only on NCERT textbooks, using OCR ingestion, grade-aware retrieval, conversational Q&A with citations, feedback capture, and reliable out-of-scope fallback through a web-friendly chat interface.

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.

Realistic synthetic degradation of document images — simulate scans, phone photos, photocopies, and aged paper for data augmentation in document AI / OCR / layout analysis pipelines. 23 physically-motivated transforms, 6 presets, CLI + Python API.

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.

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