There are 1 repository under nasnet topic.
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)
Classification models trained on ImageNet. Keras.
High level network definitions with pre-trained weights in TensorFlow
A list of popular deep learning models related to classification, segmentation and detection problems
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Gluon to PyTorch deep neural network model converter
A neat pytorch implementation of nasnet and the ported weights from tensorflow
reimplementation of "Learning Transferable Architectures for Scalable Image Recognition" using mnist dataset, include controller
Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)
An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras
Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Neural Image Assessment, a tool to automatically inspect quality of images.
Benchmarking various Computer Vision models on TinyImageNet Dataset
MATLAB Fashion Classification with Deep Learning.
An pytorch nasnet implementaion
Do you wonder how to implement algos in the papers you are reading and the implementations on GitHub are hard to modify? This repository will demonstrate how to make deep learning algos implementations in a really obviously way.
This app contains and skin cancer android app whose model is created using transfer learning with inception_v3
Multi image label classification by multi models.
A Deep Learning solution that aims to help doctors in their decision making when it comes to diagnosing cancer patients.
Malaria Detection from Cell Images using Deep Learning - NasNetMobile Model
Neural Architecture Search using Genetic Algorithm.