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)
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 file.
AI-ML 🧠 is an extremely fast-growing environment where millions of new commits 👁️ and thousands of users 👨👩 are actively engaging on a daily basis 📆. To start a new project 📦, one should generally set up a basic project structure with some default branches and files. GitHub Templates solves this by setting up a template from an existing repositories. The template 🧾 provides a minimalistic approach to quickly start a machine learning/artificial intelligence project.
For more information 💡 on how to use this template and get started, check HOWTO. Feel free to use the template as it suits you! 🚀 It would be great if you 🔗 put a link to my template, if you use this repository!
✍ Please add/modify the project details on your first project start, as documentation is important and let end user have proper knowledge! 🎯 Start by editing all the sections/paragraphs marked with "✍".
Client Name: ✍
client name(client details/information) 🏢
✍ The template can also be used in creating research papers 📖, white paper 📝, summary reports 📜, production-level codes 🏆, etc. Necessary explorative results 🎉 can be documented in this section.
Report Link: ✍
report link📕
✍ Information about the used models/engines/agents and their performance can be documented here ✨. An AI/ML-trained model can be stored in their respective directories.
Report Link: ✍
report link📒
✍ A ⚙️ config directory is available to store and configure projects with variables, values, and/or
other pieces of information related to the project template.
🔖 Relevant information related to project deployment, planning, production-ready code. For more information
🏷️ A CONTRIBUTING.md 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)
(source).
✍ The code adheres to the open-source MIT License but any project may use alternate license as per project requirement - change and/or adjust the file.
✍ The code repository comes with CODEOWNERS, like the license file end users are requested to change the file content with the username and/or organization name.
📇🔑 Documentation and/or Resources for your codes, and other mentions can be included in this section! In this section, I'm trying to provide some external resources which can be helpful for your awesome project.
✍ A list of awesome open-source projects that depends/developed from this template.