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These projects were analysed and named tensornets among their alternatives. The relationship is not symmetric — how tensornets rates them is a separate judgement, made when tensornets is analysed in its own right.
calls tensornets “Choose if you need pretrained models in TensorFlow; different framework and API.”
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
calls tensornets “Choose it for a TensorFlow 1.x model zoo if you cannot use PyTorch and need older pretrained classification models.”
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS