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Build Status License: MIT [logo]: https://github.com/AladdinPerzon/Machine-Learning-Collection/blob/master/ML/others/logo/youtube_logo.png

Machine Learning Collection

In this repository you will find tutorials and projects related to Machine Learning. I try to make the code as clear as possible, and the goal is be to used as a learning resource and a way to lookup problems to solve specific problems. For most I have also done video explanations on YouTube if you want a walkthrough for the code. If you got any questions or suggestions for future videos I prefer if you ask it on YouTube. This repository is contribution friendly, so if you feel you want to add something then I'd happily merge a PR 😃

Table Of Contents

Machine Learning

PyTorch Tutorials

If you have any specific video suggestion please make a comment on YouTube :)

Basics

More Advanced

Object Detection

Object Detection Playlist

Generative Adversarial Networks

GAN Playlist

Architectures

PyTorch Lightning

TensorFlow Tutorials

If you have any specific video suggestion please make a comment on YouTube :)

Beginner Tutorials

Docker Setup

Follow the steps below to use Docker for setting up a consistent development environment:

  1. Install Docker
    If you don't have Docker installed, use these links to install Docker for your system:

  2. Nvidia Container Toolkit (For GPU support)
    If you want to utilize GPU acceleration with CUDA, install the Nvidia Container Toolkit:

  3. Build the Docker Image
    Navigate to the directory containing the Dockerfile and run:

    docker build -t aladdin-image .
    
  4. Run the Docker Container
    Once the image is built, start the container using the following command:

    docker run -it \
      --gpus all \
      -v "${PWD}:/code" \
      -p 8080:8080 \
      --name "aladdin-container" \
      --env AUTHENTICATE_VIA_JUPYTER="mytoken" \
      aladdin-image
    
Languages
Python 60.6%
Jupyter Notebook 39.2%
Shell 0.2%