This is Deep Learning based Human Activity Recognition Model. The model is trained over WISDM dataset, using the acceleration values over time to classify the activity of the human into 6 categories. The model is further Quantized for the making it compatible for IoT application
A PINN (Physics-Informed Neural Network) that has been robustified against the impact of dynamic quantization, on model performance.
Repository for machine translation models used for EasierMTL's East Asian novel translation API.
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