Popular GitHub Repositories for Densenet121

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 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

Fully convolutional deep neural network to remove transparent overlays from images

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

High level network definitions with pre-trained weights in TensorFlow

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

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

A list of popular deep learning models related to classification, segmentation and detection problems

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

A PyTorch Computer Vision (CV) module library for building n-D networks flexibly ~

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Accelerate Neural Net Training by Progressively Freezing Layers

Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge