Image augmentation for machine learning experiments.
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Updated
Jun 15, 2022 - Python
Image augmentation for machine learning experiments.
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image augmentation library in Python for machine learning.
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Data augmentation for NLP
Medical imaging toolkit for deep learning
Official Implementation of 'Fast AutoAugment' in PyTorch.
PyTorch extensions for fast R&D prototyping and Kaggle farming
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Official Pytorch implementation of CutMix regularizer
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Unofficial PyTorch Reimplementation of RandAugment.
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Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
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