autoaugment

There are 1 repository under autoaugment topic.

PaddlePaddle / PaddleClas
A treasure chest for visual recognition powered by PaddlePaddle
image-classification knowledge-distillation autoaugment randaugment gridmask cutmix deit repvgg swin-transformer pretrained-models image-retrieval-system image-recognition product-recognition
Language:Python 3489
AgaMiko / 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.
data-augmentation data-synthesis data-generation generative-adversarial-network review survey style-transfer machine-learning augmentation-policies data-augmentations autoaugment graph-data-augmentation image-augmentation audio-augmentation nlp-augmentation
1192
ildoonet / pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
augmentation autoaugment cifar classification computer-vision convolutional-neural-networks deep-learning imagenet pytorch
Language:Python 503
PistonY / torch-toolbox
🛠 Toolbox to extend PyTorch functionalities
pytorch toolbox flops metrics initializers labelsmoothing cosinewarmuplr switchnorm swish lookahead mixup cutout lmdb arcloss cosloss l2softmax cv2 teansform lmdb-dataset autoaugment
Language:Python 358
4uiiurz1 / pytorch-auto-augment
PyTorch implementation of AutoAugment.
image-classification data-augmentation pytorch autoaugment
Language:Python 144
zhiqiangdon / online-augment
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
data-augmentation automl less-domain-knowledge auto-augment online-augment stn autoaugment pytorch vae efficient-training generative-adversarial-network online-learning
Language:Python 32
gudovskiy / autodo
Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
automl autoaugment automated-machine-learning
Language:Python 22
affjljoo3581 / Differentiable-RandAugment
Optimize RandAugment with differentiable operations
machine-learning deep-learning images image-augmentation autoaugment randaugment torch pytorch image-processing python
Language:Python 14
SeongwoongCho / adversarial-autoaugment-pytorch
Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
adversarial-autoaugment autoaugment deep-learning data-augmentation data-augmentation-strategies policy-gradient cifar computer-vision imagenet augmentation convol convolutional-neural-networks
Language:Python 14
tgilewicz / uniformaugment
Unofficial PyTorch Reimplementation of UniformAugment.
uniformaugment autoaugment augmentation imagenet cifar classification deep-learning uniform-augment convolutional-neural-networks randaugment
Language:Python 14
Jasonlee1995 / AutoAugment_Detection
Unofficial Pytorch implementation of the paper 'Learning Data Augmentation Strategies for Object Detection'
autoaugment detection augmentation pytorch
Language:Jupyter Notebook 11
JJack27 / Auto-Augment
An unofficial implementation of Google Brain's research in 2018
deep-reinforcement-learning autoaugment reinforcement-learning python unofficial
Language:Python 10
wangermeng2021 / 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.
tensorflow2 image-classification mixup cutmix randaugment autoaugment sam progressive-resizing sharpness-aware-minimization lr-finder
Language:Python 10
cjf8899 / simple_tool_pytorch
:package:Simple Tool Box with Pytorch
mixup autoaugment warmup-cosine-lr label-smoothing random-erasing-augment focal-loss
Language:Python 8
chjort / chambers
Collection of deep learning modules
tensorflow2 keras vision-transformer randaugment autoaugment
Language:Python 2
kim-younghan / RandAugment3D
RandAugment process for point cloud data to handle with 3D classification task
machine-learning deep-learning autoaugment data-augmentation 3d-classification
Language:Python 1
Shreyas-Bhat / STL10
Comparing different learning paradigms on the STL 10 dataset and carrying further analysis in each method
stl10 supervised-learning self-supervised-learning semi-supervised-learning simclr2 contrastive-learning autoaugment
Language:Jupyter Notebook 1
stanford-traffic-sign / stanford-cs230-traffic-sign
Stanford CS 230 Group Project
deep-learning machine-learning pytorch python cnn autoaugment spatial-transformer-network convolutional-neural-network
Language:Python 1

ezoic increase your site revenue

Related Topics

python django flask python3 django-rest-framework