model-architecture topic
MEAL-V2
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
ImageNet
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
imagenet
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
stockwatcher
stockwatcher, a modern android development stack showcase
Tensorflow_Advance_Techniques
deeplearning.ai Tensorflow advance techniques specialization
VGG16-PyTorch
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
CAE-ADMM
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders