WySDPc's starred repositories
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
keras-segmentation-sota-models
A keras implementation of many sota segmentation model with different backbones, such as Unet, Bisenet, Linknet
image-models
Different models/architectures implemented in keras, designed to use the same interface
Global_Convolutional_Network
Pytorch implementation of GCN architecture for semantic segmentation
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
TernausNet
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
keras-image-segmentation
Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
car-damage-detector
Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.
AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
kaggle-solutions
Solutions to my previous Kaggle competitions
focal-tversky-unet
This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.
machine-learning-matlab
Matlab implementation of Machine Learning algorithms
UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
Brain-Tissue-Segment-Keras
Network: FCN, U-Net, Unet+Resblock(DeepUNet), Squeeze+UNet, DenseNet+UNet(DenseUnet)...
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
audio_steganalysis_ml
Audio steganalysis based on traditional handcrafted features design.
Tianchi-Medical-LungTumorDetect
天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
loss_for_medical_image_segmentation
loss for medical image segmentation use keras(python)