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Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"
This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces".
A novel architecture for enhancing image classification. Reference paper: https://arxiv.org/abs/2104.12294
Smart Automation Controller for Precision Agriculture
Gravepine disease detection with Deep Learning and Transfer Learning.
Implementation and research paper of MobileNet