{"id":20292861,"url":"https://github.com/a-mhamdi/jlai","last_synced_at":"2025-10-10T17:45:59.933Z","repository":{"id":163252655,"uuid":"543707238","full_name":"a-mhamdi/jlai","owner":"a-mhamdi","description":"An Introduction to Artificial Intelligence with Julia","archived":false,"fork":false,"pushed_at":"2025-04-05T14:57:38.000Z","size":110809,"stargazers_count":9,"open_issues_count":0,"forks_count":8,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-05T15:33:07.715Z","etag":null,"topics":["docker-image","flux","fuzzy-logic","julialang","machine-learning","mlj"],"latest_commit_sha":null,"homepage":"https://a-mhamdi.github.io/jlai/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/a-mhamdi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-09-30T17:11:22.000Z","updated_at":"2025-04-05T14:57:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"d0cdaccd-e27b-4dfe-afdb-582dd8a5267b","html_url":"https://github.com/a-mhamdi/jlai","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a-mhamdi%2Fjlai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a-mhamdi%2Fjlai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a-mhamdi%2Fjlai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a-mhamdi%2Fjlai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/a-mhamdi","download_url":"https://codeload.github.com/a-mhamdi/jlai/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248382351,"owners_count":21094559,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["docker-image","flux","fuzzy-logic","julialang","machine-learning","mlj"],"created_at":"2024-11-14T15:19:41.850Z","updated_at":"2025-10-10T17:45:59.929Z","avatar_url":"https://github.com/a-mhamdi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fuzzy Logic, Machine Learning and Deep Learning with Julia\n\nThis 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.\n\n[![CI/CD](https://github.com/a-mhamdi/jlai/actions/workflows/jlai.yml/badge.svg)](https://github.com/a-mhamdi/jlai/actions/workflows/jlai.yml)\n[![Docker Version](https://img.shields.io/docker/v/abmhamdi/jlai?sort=semver)](https://hub.docker.com/r/abmhamdi/jlai)\n[![Docker Pulls](https://img.shields.io/docker/pulls/abmhamdi/jlai)](https://hub.docker.com/r/abmhamdi/jlai)\n[![Docker Stars](https://img.shields.io/docker/stars/abmhamdi/jlai)](https://hub.docker.com/r/abmhamdi/jlai)\n\n## Included Algorithms\n\nThe repository includes implementation of the following algorithms:\n\u003e1. Linear Regression, Logistic Regression, Naive Bayes, Decision Tree, k-NN, SVM, K-MEANS, and PCA\n\u003e1. Fuzzy Logic, Fuzzy Inference Systems (FIS): Mamdani, Sugeno and Tsukamoto \n\u003e1. ANN, CNN, Transfer Learning, GAN, VAE, NLP\n\u003e1. Reinforcement Learning\n\n\u003e [!NOTE]\n\u003e To run the code, you will need to first pull the `Docker` image by running the following command:\n\u003e\n\u003e ```zsh\n\u003e docker pull abmhamdi/jlai-p1\n\u003e ```\n\u003e \n\u003e This may take a while, as it will download and install all necessary dependencies.\n\n## How to control the containers:\n\nServices can be started by typing the command:\n\n ```zsh\ndocker-compose up # starts the containers\n```\n```zsh\ndocker-compose down # stops and removes them\n```\n\nThis will launch 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 use `Pluto` on [http://localhost:1234](http://localhost:1234).\n\n\u003e [!IMPORTANT]\n\u003e \n\u003e You will need to have Docker installed on your machine. You can download it from the [Docker website](https://hub.docker.com).\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](https://raw.githubusercontent.com/a-mhamdi/jlai/refs/heads/main/LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fa-mhamdi%2Fjlai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fa-mhamdi%2Fjlai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fa-mhamdi%2Fjlai/lists"}