An implementation of "mixup: Beyond Empirical Risk Minimization"

mixup: Beyond Empirical Risk Minimization

Site aggregator for popular social content.

Implementation of the mixup training method

How to do mixup training from image files in Keras

a lightweight project for classification and bag of tricks are employed for better performance

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

Official adversarial mixup resynthesis repository

ManifoldMixup with support for Interpolated Adversarial training

A repository to host recent papers on Manifold Mixup.

Tensorflow2(Keras)のImageDataGeneratorのJupyter上での実行例。

Tensorflow2/KerasのImageDataGenerator向けのmixupの実装。

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

An implementation of MobileNetV3 with pyTorch

A new regularization technique by encountering samples through exponential smoothing

an implementation of mixup

Exploring mixup strategies for text classification

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)