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Mutual labels: data-augmentation, mixup, cutmix
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Mutual labels: data-augmentation, mixup
TorchsampleHigh-Level Training, Data Augmentation, and Utilities for Pytorch
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Mutual labels: data-augmentation
ZerothKaldi-based Korean ASR (한국어 음성인식) open-source project
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Mutual labels: data-augmentation
TsaugA Python package for time series augmentation
Stars: ✭ 180 (+414.29%)
Mutual labels: data-augmentation
EvoskeletonOfficial project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"
Stars: ✭ 154 (+340%)
Mutual labels: data-augmentation
ScaperA library for soundscape synthesis and augmentation
Stars: ✭ 186 (+431.43%)
Mutual labels: data-augmentation
Unsupervised Data AugmentationUnofficial PyTorch Implementation of Unsupervised Data Augmentation.
Stars: ✭ 127 (+262.86%)
Mutual labels: data-augmentation
Tinycrayon Ios SdkA smart and easy-to-use image masking and cutout SDK for mobile apps.
Stars: ✭ 1,767 (+4948.57%)
Mutual labels: cutout
MudaA library for augmenting annotated audio data
Stars: ✭ 177 (+405.71%)
Mutual labels: data-augmentation
Nlp Data AugmentationData Augmentation for NLP. NLP数据增强
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Mutual labels: data-augmentation
Torch videovisionTransforms for video datasets in pytorch
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Mutual labels: data-augmentation
ImagecorruptionsPython package to corrupt arbitrary images.
Stars: ✭ 158 (+351.43%)
Mutual labels: data-augmentation
Face.evolve.pytorch🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
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Mutual labels: data-augmentation
Copy Paste AugCopy-paste augmentation for segmentation and detection tasks
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Mutual labels: data-augmentation
SoltStreaming over lightweight data transformations
Stars: ✭ 249 (+611.43%)
Mutual labels: data-augmentation
Ghost Free Shadow Removal[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
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Mutual labels: data-augmentation
Stylealign[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition
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Mutual labels: data-augmentation
Tensorflow Mnist CnnMNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Stars: ✭ 182 (+420%)
Mutual labels: data-augmentation