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1. PyTorch-Reimplementation-of-Super-resolution-Flow PyTorch-Reimplementation-of-Super-resolution-Flow Public

   PyTorch reimplementation of a deep-learning model for super-resolution reconstruction of turbulent flows, combining DSM and MSM modules. Trained on public data, it reconstructs high-resolution velo…

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2. Super-Resolution-of-Turbulent-Flow-Fields-using-Deep-Learning Super-Resolution-of-Turbulent-Flow-Fields-using-Deep-Learning Public

   This project uses a deep learning-based super-resolution model to reconstruct high-resolution turbulent flow fields from coarse CFD data. Inspired by recent work in data center modeling, it adapts …

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3. Brain-Tumor-Segmentation-with-UNet-VGG16 Brain-Tumor-Segmentation-with-UNet-VGG16 Public

   The UNet-VGG16 model utilizes VGG16 as the encoder with transfer learning to accelerate training and improve feature extraction. The UNet architecture reconstructs tumor segmentation masks.

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4. Artificial-Pressure-Method-CFD Artificial-Pressure-Method-CFD Public

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5. Evolutionary-Optimization-Algorithms- Evolutionary-Optimization-Algorithms- Public

   This project explores various evolutionary optimization techniques, their unique characteristics, and how they fit into the broader landscape of optimization methods

   Jupyter Notebook 1

6. neural-network-and-deep-learning-class-project neural-network-and-deep-learning-class-project Public

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