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1. Binary-Class-Brain-Tumor-Segmentation-Using-UNET Binary-Class-Brain-Tumor-Segmentation-Using-UNET Public

   We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the mod…

   Jupyter Notebook 10 2

2. Four-class-Brain-tumor-segmentation. Four-class-Brain-tumor-segmentation. Public

   We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the mod…

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3. Binary-class-Brain-Tumor-classification. Binary-class-Brain-Tumor-classification. Public

   In this we trained a model to detect if there is a tumor in the brain image given to the model. Meaning a model for binary class with an accuracy of above 90 for same and cross validation.

   Jupyter Notebook 3

4. Drowsiness-Detection Drowsiness-Detection Public

   In this project we will train our model on open and close eyes dataset then use that with face recognition library to check if the driver is sleeping or not.

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5. Spam-and-Ham-text-classifier Spam-and-Ham-text-classifier Public

   In this project we are using LSTM to classify texts as spam or ham.

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6. Stable-Diffusion Stable-Diffusion Public

   In this project we will train stable diffusion model on CIFAR10 dataset and then try to generate images form ten different classes.

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