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This repository contains code and documentation for the research paper "A Dual-Track Feature Fusion Model Utilizing Group Shuffle Residual DeformNet and Swin Transformer for Grape Leaf Disease Classification." The model combines global and local feature extraction techniques, achieving 98.6% accuracy on the PlantVillage dataset.
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A chess resembling basic js application
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Litcode codes for CS students in python
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