PhD Candidate at ECE department
Generative algorithms in Deep Learning
Diffusion models, GAN models
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UTSA
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Augmentation-of-ECG-Training-Dataset-with-CGAN
Augmentation-of-ECG-Training-Dataset-with-CGAN PublicImbalanced MIT-BIH dataset is augmented with the generated beats by WGAN-GP and AC-WGAN-GP to improve the classification metrics.
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Synthetic-ECG-Generation---GAN-Models-Comparison
Synthetic-ECG-Generation---GAN-Models-Comparison PublicIn this project we compared 5 models from GAN family in synthetic single heartbeat generation
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Synthetic-ECG-Signal-Generation-using-Probabilistic-Diffusion-Models
Synthetic-ECG-Signal-Generation-using-Probabilistic-Diffusion-Models PublicWe used Improved DDPM (developed by OpenAI) to generate synthetic ECG signals and compared it with WGAN-GP.
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pytorch-sentiment-analysis
pytorch-sentiment-analysis PublicForked from bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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