xkumiyu / numpy-data-augmentation
Data Augmentation using NumPy
☆57Updated 7 years ago
Alternatives and similar repositories for numpy-data-augmentation:
Users that are interested in numpy-data-augmentation are comparing it to the libraries listed below
- ISBI2018: Adversarial Deep Structural Networks for Mammographic Mass Segmentation https://arxiv.org/abs/1612.05970☆50Updated 3 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆46Updated 5 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆37Updated 6 years ago
- ☆24Updated 6 years ago
- Keras implementation of Octave Convolutions☆53Updated 6 years ago
- ☆94Updated 7 years ago
- PyTorch Implementation of Stacked U-Nets (SUNets)☆153Updated 6 years ago
- This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf☆103Updated 6 years ago
- U-Net Model for Image Segmentation Problems using PyTorch 0.4☆36Updated 5 years ago
- Implementation of U-Net architecture using Pytorch☆108Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Keras implementation of Residual Attention Network☆109Updated 6 years ago
- 4th place solution for 2018 Data Science Bowl kaggle competition☆47Updated 6 years ago
- DeeplabV2 segmentation in Keras.☆41Updated 6 years ago
- Implementations of different variations of U-net - adding deconv layers, dense net variant and including skip connections☆9Updated 7 years ago
- ☆35Updated 7 years ago
- Squeeze-and-Excitation module for convolutional neural networks written in PyTorch☆23Updated 6 years ago
- semantic segmentation with focal loss☆47Updated 7 years ago
- Keras Implementation of MixNets: Mixed Depthwise Convolutions☆40Updated 5 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated last year
- Measuring uncertainty in Deep Learning for Medical Imaging using Monte Carlo Dropout☆13Updated 6 years ago
- A good example of deformable convolutional network for mnist classification☆21Updated 5 years ago
- UNet in pytorch for Kaggle 2018 data science bowl nuclei segmentation☆44Updated 6 years ago
- PyTorch implementation of Deformable Convolution Networks (Supports Pytorch 1.0)☆30Updated 6 years ago
- ☆23Updated 7 years ago
- This is supplementary material for the manuscript: "Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Ne…☆30Updated 7 years ago
- Pytorch based implemenatation of Fully Convolutional Networks☆19Updated 6 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 7 years ago
- an implementation of path aggregation network based on mattport mask-rcnn☆36Updated 6 years ago
- an implementation of mixup☆41Updated 4 years ago