https://github.com/a-mhamdi/jlai

An Introduction to Artificial Intelligence with Julia
https://github.com/a-mhamdi/jlai

docker-image flux fuzzy-logic julialang machine-learning mlj

Last synced: about 7 hours ago
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An Introduction to Artificial Intelligence with Julia

• Host: GitHub
• URL: https://github.com/a-mhamdi/jlai
• Owner: a-mhamdi
• License: mit
• Created: 2022-09-30T17:11:22.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-11-02T15:17:26.000Z (12 days ago)
• Last Synced: 2024-11-02T16:24:04.357Z (12 days ago)
• Topics: docker-image, flux, fuzzy-logic, julialang, machine-learning, mlj
• Language: Jupyter Notebook
• Homepage:
• Size: 81.3 MB
• Stars: 9
• Watchers: 3
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Fuzzy Logic, Machine Learning and Deep Learning with Julia

This repository contains slides, labs and code examples for using `Julia` to implement some **artificial intelligence** related algorithms. Codes run on top of a `Docker` image, ensuring a consistent and reproducible environment.

[![CI/CD](https://github.com/a-mhamdi/jlai/actions/workflows/jlai.yml/badge.svg)](https://github.com/a-mhamdi/jlai/actions/workflows/jlai.yml)

[![Docker Version](https://img.shields.io/docker/v/abmhamdi/jlai?sort=semver)](https://hub.docker.com/r/abmhamdi/jlai)

[![Docker Pulls](https://img.shields.io/docker/pulls/abmhamdi/jlai)](https://hub.docker.com/r/abmhamdi/jlai)

[![Docker Stars](https://img.shields.io/docker/stars/abmhamdi/jlai)](https://hub.docker.com/r/abmhamdi/jlai)

To run the code, you will need to first pull the `Docker` image by running the following command:

```zsh

docker pull abmhamdi/jlai

```

This may take a while, as it will download and install all necessary dependencies.

## How to control the containers:

* ```docker-compose up``` starts the container

* ```docker-compose down``` stops and destroys the container

Services can be run by typing the command `docker-compose up`. This will start the `Jupyter Lab` on [http://localhost:2468](http://localhost:2468) and you should be able to use `Julia` from within the notebook by starting a new `Julia` notebook. You can parallelly start `Pluto` on [http://localhost:1234](http://localhost:1234).

## Included Algorithms

The repository includes implementation of the following algorithms:

>1. Linear Regression, Logistic Regression, k-NN, SVM, K-MEANS

>1. Fuzzy Inference System (FIS), Fuzzy Logic Controller

>1. ANN, CNN, GAN, VAE, NLP

>1. Transfer Learning

>1. Reinforcement Learning

## Prerequisites

You will need to have Docker installed on your machine. You can download it from the [Docker website](https://hub.docker.com).

## License

This project is licensed under the MIT License - see the [LICENSE](./LICENSE) file for details.