ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
We invite you to contribute a new project to the ML-Nexus repository! To help us showcase your work, please follow the guidelines below:
Guidelines:
Project Submission: Create a project that fits one of the following topics:
Natural Language Processing (NLP)
Computer Vision
Neural Networks
Other Machine Learning/AI topics
Results:
Attach your project results, including:
Summary of the problem and solution
Code snippets or links to your code
Performance metrics and analysis
Visualizations or graphs (if applicable)
Example outputs or predictions
Documentation: Provide a detailed README file for your project, including:
Project Overview
Installation Instructions
Usage Instructions
Examples
Any other relevant details
Issue Tracking: When creating a pull request for this issue, include the following:
Issue Number: Reference this issue number in your pull request description.
Project Name: Clearly name your project.
Results Summary: Briefly describe the results and impact of your project.
Example: If you are adding a new NLP project, your results might include a summary of your text classification model's performance, sample output predictions, and a link to your code and documentation.
We invite you to contribute a new project to the ML-Nexus repository! To help us showcase your work, please follow the guidelines below:
Guidelines:
Project Submission: Create a project that fits one of the following topics:
Natural Language Processing (NLP) Computer Vision Neural Networks Other Machine Learning/AI topics
Results:
Attach your project results, including:
Summary of the problem and solution Code snippets or links to your code Performance metrics and analysis Visualizations or graphs (if applicable) Example outputs or predictions Documentation: Provide a detailed README file for your project, including:
Project Overview
Installation Instructions Usage Instructions Examples Any other relevant details Issue Tracking: When creating a pull request for this issue, include the following:
Issue Number: Reference this issue number in your pull request description. Project Name: Clearly name your project. Results Summary: Briefly describe the results and impact of your project. Example: If you are adding a new NLP project, your results might include a summary of your text classification model's performance, sample output predictions, and a link to your code and documentation.