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💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
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decodingai-magazine/articles-code
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Here, theDecoding 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 aslarge_language_models,computer_vision, ormlops, 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 └── ... .Important
Every article is an independent repository that can be run as a standalone application.
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.).
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💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
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