James Cheng's repositories
LSTM-Human-Activity-Recognition
Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
Language:Jupyter NotebookMIT000
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
Language:Jupyter NotebookApache-2.0000
multitask-CycleGAN
Pytorch implementation of multitask CycleGAN with auxiliary classification loss
Language:Python000