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
Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)
reimplementation of "Learning Transferable Architectures for Scalable Image Recognition" using mnist dataset, include controller
Benchmarking various Computer Vision models on TinyImageNet Dataset
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.
This app contains and skin cancer android app whose model is created using transfer learning with inception_v3
MATLAB Fashion Classification with Deep Learning.
PyTorch image classification models pre-trained
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