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1. Generative-Adversarial-Networks-Framework Generative-Adversarial-Networks-Framework Public

   This framewor integrates multiple state-of-the-art in addition to innovative GAN architectures, including VanillaGAN, ACVanillaGAN, WGAN, ACWGAN, WGAN-GP, ACWGAN-GP, WGAN-WC, MorphGAN, WCGAN-GP, Bl…

   Jupyter Notebook

2. DiffuSphere-Object-Oriented-Framework- DiffuSphere-Object-Oriented-Framework- Public

   DiffuSphere is an object-oriented framework for image generation using diffusion models, including DDPM, DDPM EMA, DDPM CFG, DDPM CFG EMA, CFG++, CFG++ EMA, DDPM Power Law Decay EMA, DDPM CFG Power…

   Python

3. Predicting-H1N1-and-Seasonal-Flu-Uptake Predicting-H1N1-and-Seasonal-Flu-Uptake Public

   Implemented a machine learning model to predict the likelihood of individuals receiving H1N1 and seasonal flu vaccinations and ranked 20 in the Driven Data out of 6500+ competitors.

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4. Object-Oriented-Framework-for-Machine-Learning Object-Oriented-Framework-for-Machine-Learning Public

   This repository offers a fully automated, object-oriented machine learning framework that providing a scalable framework for efficient model training, evaluation, and logging. Supporting various cl…

   Jupyter Notebook

5. End-to-End-MLOps-Training-for-Insurance-Claims End-to-End-MLOps-Training-for-Insurance-Claims Public

   The "Insurance Claims MLOps Lifecycle Automated Pipeline" GitHub project offers an efficient solution for insurance claim processing. Leveraging Azure services, it covers data engineering, model d…

   Python

6. CNN-for-Predicting-Attachment-Level-of-Bacteria CNN-for-Predicting-Attachment-Level-of-Bacteria Public

   This repository implements a Convolutional Neural Network (CNN) for classifying and predicting biomaterial attachment levels. It supports both regression and classification tasks, enabling precise …

   Python