Awesome-Segmentations

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

An index & manager of Onedrive based on serverless. Can be deployed to Heroku/Glitch/Vercel/Replit/SCF/FG/FC/CFC/PHP web hosting/VPS.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Classification with PyTorch.

A memory-efficient implementation of DenseNets

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码