Having more models

[DonaldTsang]

See https://github.com/keras-team/keras/issues/9276 and https://github.com/keras-team/keras/issues/9284

[DonaldTsang]

Maybe touch up on some of these models before adding it into the zoo. AlexNet: https://github.com/duggalrahul/AlexNet-Experiments-Keras DeepFace: https://github.com/mlakhal/deepFace DeepFace and VGG: https://github.com/chen0040/keras-face DenseNet: https://github.com/flyyufelix/DenseNet-Keras DenseNet: https://github.com/titu1994/DenseNet FaceNet: https://github.com/nyoki-mtl/keras-facenet GoogLeNet: https://github.com/dingchenwei/googLeNet MobileNet: https://github.com/experiencor/basic-yolo-keras NIN: https://github.com/sammy4321/NetworkInNetwork-using-keras-tensorflow Openface: https://github.com/iwantooxxoox/Keras-OpenFace SqueezeNet: https://github.com/rcmalli/keras-squeezenet Tiramisu: https://github.com/0bserver07/One-Hundred-Layers-Tiramisu VGGFace: https://github.com/rcmalli/keras-vggface

https://github.com/albertomontesg/keras-model-zoo https://github.com/Yoctol/yoctol-keras-layer-zoo https://github.com/david-vazquez/keras_zoo https://github.com/GKalliatakis/Keras-Application-Zoo

[DonaldTsang]

Polynet https://arxiv.org/pdf/1611.05725.pdf Squeeze-Excite https://github.com/titu1994/keras-squeeze-excite-network AmoebaNet https://arxiv.org/pdf/1802.01548.pdf

[xpngzhng]

It would be better to have ResNet101 and ResNet152 model weights

[huanqingxu]

well done