List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
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Updated
Aug 14, 2024
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 repository contains projects in the field of Deep Learning
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