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Tips for Successfully Training Transformers on Small Datasets
It turns out that you can easily train transformers on small datasets when you use tricks (and have the patience to train a very long time).
transformers small-datasets training ptb
Modern Data Augmentation Techniques for Computer Vision
A bunch of modern data augmentation techniques for computer vision covering cutout, mixup, cutmix and augmix.
data-augmentation cutout mixup cutmix
Multi-target in Albumentations
Many images, many masks, bounding boxes, and key points. How to transform them in sync?
data-augmentation image-augmentation computer-vision albumentations
Semi-Supervised Learning in Computer Vision
A comprehensive overview of recent semi-supervised learning methods in Computer Vision
semi-supervised-learning computer-vision data-augmentation article
Albumentations
Fast image augmentation library and easy to use wrapper around other libraries.
data-augmentation computer-vision demo notebook
TextAttack
A Python framework for building adversarial attacks on NLP models.
data-augmentation natural-language-processing adversarial-attacks adversarial-text
Data augmentation recipes in tf.keras image-based models
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
image-classification deep-learning data-augmentation computer-vision
SOLT: Data Augmentation for Deep Learning
Data augmentation library for Deep Learning, which supports images, segmentation masks, labels and key points.
data-augmentation image-segmentation deep-learning pytorch
Automatic Data Augmentation for Generalization in Deep RL
We compare three approaches for automatically finding an appropriate augmentation combined with two novel regularization terms for the policy and value ...
data-augmentation reinforcement-learning kornia pytorch
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