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A treasure chest for visual classification and recognition powered by PaddlePaddle
image-classification image-recognition pretrained-models knowledge-distillation product-recognition fastdeploy autoaugment cutmix randaugment gridmask deit repvgg swin-transformer image-retrieval-system
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
review machine-learning survey generative-adversarial-network style-transfer data-generation data-augmentation image-augmentation data-synthesis autoaugment audio-augmentation data-augmentations augmentation-policies nlp-augmentation graph-data-augmentation
Unofficial PyTorch Reimplementation of RandAugment.
computer-vision deep-learning pytorch classification imagenet convolutional-neural-networks cifar augmentation autoaugment
🛠 Toolbox to extend PyTorch functionalities
metrics lmdb initializers pytorch toolbox swish cutout cv2 lookahead mixup flops autoaugment labelsmoothing cosinewarmuplr switchnorm arcloss cosloss l2softmax teansform lmdb-dataset
PyTorch implementation of AutoAugment.
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
pytorch generative-adversarial-network vae data-augmentation online-learning automl stn autoaugment efficient-training auto-augment online-augment less-domain-knowledge
Optimize RandAugment with differentiable operations
python machine-learning deep-learning images image-processing torch pytorch image-augmentation autoaugment randaugment
Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
Unofficial Pytorch implementation of the paper 'Learning Data Augmentation Strategies for Object Detection'
Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
computer-vision deep-learning policy-gradient imagenet convolutional-neural-networks cifar data-augmentation-strategies data-augmentation augmentation autoaugment convol adversarial-autoaugment
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.
sam image-classification mixup autoaugment lr-finder tensorflow2 cutmix randaugment sharpness-aware-minimization progressive-resizing
Unofficial PyTorch Reimplementation of UniformAugment.
deep-learning classification imagenet convolutional-neural-networks cifar augmentation autoaugment randaugment uniformaugment uniform-augment
📦Simple Tool Box with Pytorch
An unofficial implementation of Google Brain's research in 2018
PyTorch implementation of Fast AutoAugment for Time Series
Collection of deep learning modules
Stanford CS 230 Group Project
python machine-learning deep-learning cnn pytorch convolutional-neural-network spatial-transformer-network autoaugment
Comparing different learning paradigms on the STL 10 dataset and carrying further analysis in each method
supervised-learning semi-supervised-learning stl10 self-supervised-learning autoaugment contrastive-learning simclr2
RandAugment process for point cloud data to handle with 3D classification task
Predefined pipelines for image augmentation
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