State-of-the-art data augmentation search algorithms in PyTorch

Last update: Dec 12, 2022

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Deep Learning MuarAugment

Overview

MuarAugment

Description

MuarAugment is a package providing the easiest way to a state-of-the-art data augmentation pipeline.

How to use

You can install MuarAugment via PIP:

!pip install muaraugment

Example (temp: tutorials and working examples coming soon)

from muar.augmentations import BatchRandAugment, MuAugment

# muar augmentations
rand_augment = BatchRandAugment(N_TFMS=3, MAGN=4)
mu_augment = MuAugment(rand_augment, N_COMPS=4, SELECTED=2)

# model
model = LitClassifier(mu_augment)

# data
train, val, test = mnist()

# train
trainer = Trainer()
trainer.fit(model, train, val)

Tutorials

Overview of data augmentation policy search algorithms

Owner

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State-of-the-art data augmentation search algorithms in PyTorch

Related tags

Overview

MuarAugment

Description

How to use

Example (temp: tutorials and working examples coming soon)

Tutorials

Owner

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