Anonymization of legal cases (Fr) based on Flair embeddings

[Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.

Lightweight image converter and dataset augmentor

First-Prize winner in the Core Track of the 2022 OpenCV AI Competition

Custom pedestrian detection based on yolov3.

A python library to perform patch augmentation.

A comprehensive toolkit for converting image classification datasets into object detection datasets and training them using YOLOv8. This project streamlines the process of dataset preparation, augmentation, and training, making it easier to leverage YOLOv8 for custom object detection tasks.

learnig synthetic dataset generation (data augmentation) with tensorflow lib for computer vision

Synthetic Data Generation: Tabular & Medical Imaging. A comprehensive project focused on generating synthetic data for tabular datasets and medical imaging.

This repository contains PyTorch implementation of various architectures and some helper functions for data augmentation, custom dataset building etc...

This model YOLOv5 🚀 is used to benchmark patch augmentation performance of patchmentation.

This datasets are used to benchmark patch augmentation performance of patchmentation.

University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery

simple tag expander/merger based on what's found within a tagged dataset

Real-time Finnish traffic sign detection and classification using synthetic data, transfer learning, and advanced deep learning techniques.

This tool is designed to help balance class distributions in datasets, which is particularly useful for enhancing the performance of machine learning models affected by class imbalance.