A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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Updated
Mar 11, 2022 - Python
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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)
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
A memory-efficient implementation of DenseNets
Classification models trained on ImageNet. Keras.
Fully convolutional deep neural network to remove transparent overlays from images
High level network definitions with pre-trained weights in TensorFlow
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
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
Play deep learning with CIFAR datasets
PyTorch to Keras model convertor
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)
DenseNet implementation in Keras
PyTorch implementation of CNNs for CIFAR benchmark
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
第一届西安交通大学人工智能实践大赛(2018AI实践大赛--图片文字识别)第一名;仅采用densenet识别图中文字
A list of popular deep learning models related to classification, segmentation and detection problems
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
35% faster than ResNet: Harmonic DenseNet, A low memory traffic network
天池医疗AI大赛[第一季]:肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
This project is a tool to build CheXNet-like models, written in Keras.
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