Here, the Decoding ML team aggregates all the code written for their articles. Thus, you can quickly test the code yourself while reading our articles.

The articles are tagged and divided based on their main domain, such as large_language_models, computer_vision, or mlops, following the structure from below:

.
└── articles
    ├── large_language_models
    │   ├── article 1
    │   ├── article 2
    │   ├── ...
    │   └── article n
    ├── computer_vision
    │   ├── article 1
    │   ├── article 2
    │   ├── ...
    │   └── article n
    ├── mlops
    │   ├── article 1
    │   ├── article 2
    │   ├── ...
    │   └── article n
    └── ...
    .

All the articles within this repository are open-source projects released under the MIT license. Thus, as long you distribute our LICENSE and acknowledge our work, you can safely clone or fork any project and use it as a source of inspiration for whatever you want (e.g., work, university projects, college degree projects, etc.).