autoaugment topic
PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
torch-toolbox
🛠Toolbox to extend PyTorch functionalities
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
pytorch-auto-augment
PyTorch implementation of AutoAugment.
autodo
Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
Differentiable-RandAugment
Optimize RandAugment with differentiable operations
online-augment
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
FastClassification
FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.
AutoAugment_Detection
Unofficial Pytorch implementation of the paper 'Learning Data Augmentation Strategies for Object Detection'