A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
-
Updated
May 3, 2024 - Python
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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)
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
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
A memory-efficient implementation of DenseNets
Classification models trained on ImageNet. Keras.
DenseNet implementation in Keras
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Play deep learning with CIFAR datasets
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
Fully convolutional deep neural network to remove transparent overlays from images
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
Add a description, image, and links to the densenet topic page so that developers can more easily learn about it.
To associate your repository with the densenet topic, visit your repo's landing page and select "manage topics."