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1. Neuromarketing Neuromarketing Public

   Deep-learning experiments for EEG emotion recognition on the SEED-IV dataset: nine architectures (DaViT, BFENet, DGCNN, TSCeption and others) benchmarked across subject-dependent and leave-one-subj…

   Jupyter Notebook 1 1

2. Omar-Elhakim.github.io Omar-Elhakim.github.io Public

   HTML 1

3. Indoor-Style-Image-Classification Indoor-Style-Image-Classification Public

   PyTorch deep-learning models (LightVGG, VGG16, GoogleNet, MobileNetV2, and a from-scratch Vision Transformer) that classify indoor photos into 17 interior-design styles.

   Jupyter Notebook 1

4. MLP-From-Scratch MLP-From-Scratch Public

   A multilayer perceptron (MLP) built from scratch in NumPy, with a Streamlit GUI, that classifies penguin species into three classes.

   Jupyter Notebook 1

5. Food-Fruit-Recognition Food-Fruit-Recognition Public

   Two-stage computer vision pipeline that classifies meal photos as food or fruit, recognizes the type (one-shot Siamese for food, CNN for fruit), segments fruit, and estimates calories from the weig…

   Jupyter Notebook 1

6. Using-AI-in-machinery-fault-diagnosis Using-AI-in-machinery-fault-diagnosis Public

   Deep learning models (InceptionTime, xresnet1d, LSTM-FCN) that classify mechanical faults in rotating machinery from raw vibration signals, with a preprocessing library for channel selection, windo…

   Jupyter Notebook 2