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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
Tsaug
A Python package for time series augmentation.
time-series data-augmentation tsaug code
Test-Time Data Augmentation
Tutorial on how to properly implement test-time image data augmentation in a production environment with limited computational resources.
data-augmentation keras production tensorflow
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
TextAttack
A Python framework for building adversarial attacks on NLP models.
data-augmentation natural-language-processing adversarial-attacks adversarial-text
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
Albumentations
Fast image augmentation library and easy to use wrapper around other libraries.
data-augmentation computer-vision demo notebook
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
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