A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
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Updated
Nov 24, 2021 - Python
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
Tensorflow ShuffleNet v2 implementation
Real-time semantic image segmentation on mobile devices
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
The MXNet Implementation of ShuffleNet v1, v2 and MobileFaceNet
Implementation of ShuffleNet_v2 with pytorch
paddle cifar100 training
reproduce of shufflenetv2 and shufflenetv2+ based on tensorflow, model converted from official repo
Optimizing DNN Operators on Mobile GPUs
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