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1. EEGNet_Pytorch EEGNet_Pytorch Public

   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-Compu…

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2. CGAN_MNIST_Pytorch CGAN_MNIST_Pytorch Public

   This code implements an example of a CGAN deep learning model using PyTorch. The architecture used for the generator and discriminator is MLP (multi layer perceptron) network. This model is trained…

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3. object_detection_with_pre_trained_models object_detection_with_pre_trained_models Public

   In this notebook, we want to recognize the objects in the image using pre-trained models. The used models are fasterRCNN, RetinaNet, SSD and FCOS. The code is programmed in Python language and uses…

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4. Speech_commands_Classification Speech_commands_Classification Public

   In this notebook, we aim to recognize speech commands using classification. For this purpose, we used the SPEECHCOMMANDS dataset and the deep convolutional model M5. The code is written in Python a…

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5. Pneumonia_Classifier_Using_Chest_XRay Pneumonia_Classifier_Using_Chest_XRay Public

   In this notebook, we perform a binary classification on chest X-ray images to determine whether a person has healthy lungs or is diagnosed with pneumonia. For this classification, we used a custom …

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