data-augmentations

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

RAD: Reinforcement Learning with Augmented Data

A simpler way of reading and augmenting image segmentation data into TensorFlow

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.

[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".

A toolkit to augment audios (e.g. noise, reverb, distort, speedup, packet loss, farfield effects).

This is our project for image processing course in our university (AIU)

Lightweight SegFormer3D-inspired 3D Transformer for right-ventricle segmentation in cardiac MRI (evaluated on the public M&Ms-2 multi-center, multi-view dataset).

This repository contains projects in the field of Deep Learning

This project implements an image classification model using Convolutional Neural Networks (CNN) to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes, with 6,000 images per class. The classes include airplanes, automobiles, birds, cats, deer, dogs, frogs, horses, and trucks.

Augmentify is a CLI data augmentation tool used to assist in YOLO model training.

Computer vision pipeline (SAM + YOLOv8 + ROS) developed during my research internship at INAOE for the Markovito service robot.