🫁 Automate ETT and Carina segmentation on chest radiographs for faster, accurate assessments, improving patient care and treatment efficiency.

📊 Forecast time-series data using LSTM models in PyTorch; generate, train, and visualize predictions with key metrics for accurate insights.

Next-generation Albumentations: dual-licensed for open-source and commercial use

🖼️ Python-based image augmentation pipeline for YOLO object detection datasets using Albumentations. Applies 50+ augmentation transforms (weather effects, blur, geometric, color) while preserving bounding box annotations in YOLO format.

pixel-NeRF를 활용한 차량 이미지 증강 : Research on 3D Reconstruction and View Synthesis in Colab

A versatile Python-based image augmentation tool that helps generate diverse training datasets for computer vision projects. Supports multiple transformations including rotation, flipping, color adjustments, and more. Built with OpenCV and Albumentations for high-performance image processing. Perfect for machine learning and deep learning projects

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

Image augmentation extension for the image-dataset-converter library.

A lightweight, high-performance toolkit for generating robust image datasets. Features a Streamlit-based UI for real-time augmentation previews and batch processing, specifically optimized for document scanning, OCR, and computer vision workflows.

automatic color-grading and image data augmentation

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Shuffle PatchMix (SPM) for Source-Free Domain Adaptation (ICIP 2025); patch-shuffle augmentation + confidence-margin pseudo-labels. New SOTA on PACS (+7.3%), strong results on DomainNet-126 and VisDA-C.

Implements a UNet-based medical image segmentation framework for precise detection of the carina and endotracheal tube tip, supporting automated clinical evaluation of airway placement.

An MCP-compatible image augmentation tool powered by Albumentations. Built for Claude, Kiro, and other AI agents.

ML data processing (For Computer Vision)

A Python module implementing "CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer" that allows for modular implementation of style transfer as an image augmentation in deep learning pipelines, with a fully Pytorch-based framework for image and video training and inference.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

INCOIS_AAIDeS (Automated Animal Identification and Detection of Species) is a finalist-level government-backed project developed in collaboration with INCOIS – Indian National Centre for Ocean Information Services, Hyderabad. It uses deep learning to detect and classify marine species from netted fish data, empowering sustainable fishing and aiding

Classifying the paintings of the 50 greatest artists in history using a convolutional neural network