{"id":16347144,"url":"https://github.com/zenithclown/ai-ml-project-template","last_synced_at":"2025-08-13T23:10:14.170Z","repository":{"id":103667344,"uuid":"489612138","full_name":"ZenithClown/ai-ml-project-template","owner":"ZenithClown","description":"A \"production-ready\" simple project template to quickly start an Artificial Intelligence (AI), Machine Learning (ML) and/or Data Science (DS) project with basic files, branches and directory 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align = \"center\"\u003e\n  AI-ML Project Template \u003cbr\u003e\n  \u003ca href=\"https://github.com/ZenithClown/ai-ml-project-template/issues\"\u003e\u003cimg alt=\"GitHub issues\" src=\"https://img.shields.io/github/issues/ZenithClown/ai-ml-project-template?logo=git\u0026style=plastic\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/ZenithClown/ai-ml-project-template/network\"\u003e\u003cimg alt=\"GitHub forks\" src=\"https://img.shields.io/github/forks/ZenithClown/ai-ml-project-template?style=plastic\u0026logo=github\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/ZenithClown/ai-ml-project-template/stargazers\"\u003e\u003cimg alt=\"GitHub stars\" src=\"https://img.shields.io/github/stars/ZenithClown/ai-ml-project-template?style=plastic\u0026logo=github\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://makeapullrequest.com/\"\u003e\u003cimg alt=\"PRs Welcome\" src=\"https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=plastic\u0026logo=open-source-initiative\"\u003e\u003c/a\u003e\n\u003c/h1\u003e\n\n\u003cdiv align = \"justify\"\u003e\n\n**Objective:** A *simple* and *well-designed* template structure to start a machine learning/deep learning-based project. The template provides a basic directory structure with additional files (like [`examples/BOILERPLATE.ipynb`](./examples/BOILERPLATE.ipynb) to perform EDA. In addition, the template is designed such that code can be deployed into production. *Quickly get started* working on the code, and preparing documentation as highlighted below. To understand the template check [**HOWTO.md**](./HOWTO.md) file.\n\nAI-ML :brain: is an extremely fast-growing environment where millions of new commits :eye: and thousands of users :man: :woman: are actively engaging on a daily basis :calendar:. To start a new project :package:, one should generally set up a basic project structure with some default branches and files. \u003ca href = \"https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-template-repository\"\u003eGitHub Templates\u003c/a\u003e solves this by setting up a template from an existing repositories. The template :receipt: provides a minimalistic approach to quickly start a machine learning/artificial intelligence project. :gear:\n\nFor more information :bulb: on how to use this template and get started, check \u003ca href = \"HOWTO.md\"\u003eHOWTO\u003c/a\u003e. Feel free to use the template as it suits you! :rocket:\nIt would be great if you :link: put a link to my template, if you use this repository!\n\n## :writing_hand: Project Name\n\n:writing_hand: Please add/modify the project details on your first project start, as \u003ca href = \"https://www.atlassian.com/work-management/knowledge-sharing/documentation/importance-of-documentation\"\u003edocumentation is important\u003c/a\u003e and let end user have proper knowledge! :dart: Start by editing all the sections/paragraphs marked with \":writing_hand:\".\n\n\u003e Client Name: :writing_hand: `client name` (`client details/information`) :office:\n\n### Explorative Results\n\n:writing_hand: The template can also be used in creating research papers :book:, white paper :memo:, summary reports:scroll:, production-level codes :trophy:, etc. Necessary explorative results :tada: can be documented in this section.\n\n\u003e Report Link: :writing_hand: `report link` :closed_book:\n\n### Modelling Results\n\n:writing_hand: Information about the used models/engines/agents and their performance can be documented here :sparkles:. An AI/ML-trained model can be stored in their respective directories.\n\n\u003e Report Link: :writing_hand: `report link` :ledger:\n\n### Configurations\n\n:writing_hand: A \u003ca href = \"config\"\u003e\u003ccode\u003econfig\u003c/code\u003e\u003c/a\u003e directory is available to store and configure projects with variables, values, and/or other pieces of information related to the project template.\n\n### Project Deployment and Planning\n\n:bookmark: Relevant information related to project deployment, planning, production-ready code. For more information :interrobang: on individual version check \u003ca href = \"CHANGELOG.md\"\u003eCHANGELOG\u003c/a\u003e. :heavy_check_mark:\n\n## LICENSE \u0026 Contributions\n\n:label: A \u003ca href = \"CONTRIBUTING.md\"\u003eCONTRIBUTING.md\u003c/a\u003e file, in your open-source repository or site, provides potential project contributors with a short guide to how they can help with your project or study group. It is a convention to capitalize the word \"contributing\" as the file title, and to save it as a resource in markdown (hence the extension .md) (\u003ca href = \"https://mozillascience.github.io/working-open-workshop/contributing/\"\u003esource\u003c/a\u003e). :writing_hand: For \u003cb\u003eLICENSE\u003c/b\u003e create or add your own file as \u003ccode\u003eLICENSE\u003c/code\u003e.\n\n## Resources\n\n:card_index: Documentation and/or Resources for your codes, and other mentions can be included in this section! :key:\n\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzenithclown%2Fai-ml-project-template","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzenithclown%2Fai-ml-project-template","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzenithclown%2Fai-ml-project-template/lists"}