The TensorFlow model Garden for Human Activity Recognition (tfgarden) is the repository of CNN models implemented for sensor-based human activity recognition, like tensorflow.keras.applications
.
The models implemented here can also be used as a source domain for sensor-based task (e.g. sidewalk surface type estimation).
densenet
module: DenseNet models for Keras.efficientnet
module : EfficientNet models for Keras.efficientnet_v2
module: EfficientNetV2 models for Keras.inception_resnet_v2
module: Inception-ResNet V2 model for Keras.inception_v3
module: Inception V3 model for Keras.mobilenet
module : MobileNet v1 models for Keras.mobilenet_v2
module: MobileNet v2 models for Keras.mobilenet_v3
module: MobileNet v3 models for Keras.nasnet
module: NASNet-A models for Keras.resnet
module : ResNet models for Keras.resnet_v2
module: ResNet v2 models for Keras, Not implemented yet.vgg11
module : VGG11 model for Keras.vgg13
module : VGG13 model for Keras.vgg16
module : VGG16 model for Keras.vgg19
module : VGG19 model for Keras.xception
module: Xception V1 model for Keras.mnasnet
module: MnasNet-A1 model for Keras.pyramidnet
module : PyramidNet models for Keras.efficientnet_lite
module : EfficientNet-Lite models for Keras.
Please refer to tfmars
pip install git+https://github.com/Shakshi3104/tfgarden.git
tensorflow >= 2.0