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random_deeplearning's Introduction

Random Deep Learning Projects

Welcome to the Random Deep Learning Projects repository! This repository contains a collection of diverse deep learning projects covering various topics and applications from the MIE1517 course (all credit goes to Professor Sinisa Colic for providing some of these notebooks and data). Each project is organized into separate folders for clarity and ease of navigation. Feel free to explore the projects and dive into the details of each one.

Project List

1. Intro to PyTorch

  • LAB_1_ANN_and_PyTorch.ipynb: LINK

2. CNNs for American Sign Language Recognition

  • ASL_Dataset: LINK
  • ASL_Dataset_Processed: LINK
  • Data: LINK
  • Lab_2_Hand_Gesture Dataset: LINK
  • LAB_2_Hand_Gesture_Recognition.ipynb: LINK

3. GANs for Horse Photos

  • Horse Photos: LINK
  • Lab_3_Generating_Data-Submission.ipynb: LINK
  • RegressionCNN.png: LINK

4. NLP for Spam Detection

  • smsspamcollection: LINK
  • LAB_4_Sequential_Data.ipynb: LINK

How to Use

  1. Clone the repository to your local machine:

    git clone https://github.com/your-username/random-deep-learning-projects.git
    
  2. Navigate to the desired project folder and explore the code and datasets

  3. Install the required dependencies if any. You can use virtual environemnts for better isolation or Google Colab.

Contribution

If you have any improvements, bug fixes, or new projects to add, feel free to contribute. Fork the repo, make your changes, and submit a pull request.

Happy coding!

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