Implemented and trained GAN models with PyTorch for synthetic data generation and augmentation.
Implemented and trained Generative Adversarial Network (GAN) models using PyTorch to generate synthetic data for student performance analytics. Explored applications in data augmentation and visual synthesis to enrich limited datasets.