There are 1 repository under data-augmentations topic.
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
✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.
A toolkit to augment audios (e.g. noise, reverb, distort, speedup, packet loss, farfield effects).
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
This repository contains projects in the field of Deep Learning