#算法刷题#A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
翻译 - python库旨在使开发人员能够使用独立的计算机视觉功能来构建应用程序和系统
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
翻译 - 具有预训练骨干的细分模型。 Keras和TensorFlow Keras。
#计算机科学#Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, N...
翻译 - 在cifar100上进行实践(ResNet,DenseNet,VGG,GoogleNet,InceptionV3,InceptionV4,Inception-ResNetv2,Xception,Resnet In Resnet,ResNext,ShuffleNet,ShuffleNetv2,MobileNet,MobileNetv2,SqueezeNet,NasNet,残留注意力网络,SENet)
#计算机科学#Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
#计算机科学#A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Classification with PyTorch.
#计算机科学#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
Fully convolutional deep neural network to remove transparent overlays from images
Classification models trained on ImageNet. Keras.
#计算机科学#High level network definitions with pre-trained weights in TensorFlow
#计算机科学#A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
#计算机科学#PyTorch to Keras model convertor
#计算机科学#Play deep learning with CIFAR datasets
#计算机科学#Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
PyTorch implementation of CNNs for CIFAR benchmark
翻译 - CIFAR基准的CNN的PyTorch实施