AI Data Foundation

A comprehensive resource for AI tools, frameworks, and methodologies, presented in an easy-to-browse web interface.

🌟 Features

• Comprehensive AI Directory: Browse tools and frameworks for artificial intelligence and machine learning
• Categorized Browsing: Filter resources by categories like Machine Learning, Natural Language Processing, Computer Vision, and more
• Search Functionality: Quickly find tools based on name or description
• GitHub Integration: View GitHub stars for each project using GitHub's GraphQL API
• Modern UI: Clean and responsive interface for desktop and mobile devices

🚀 Quick Start

Prerequisites

• Node.js (version 16 or higher)
• npm or yarn
• GitHub Personal Access Token (for local development only) - See GitHub API Setup

Installation

1. Clone the repository:

   git clone https://github.com/aidatafoundation/aidatafoundation.github.io.git
   cd aidatafoundation.github.io
   

2. Install dependencies:

   npm install
   

3. For local development only, create a .env.local file with your GitHub token:

   VITE_GITHUB_TOKEN=your_github_token_here
   

   See GitHub API Setup for detailed instructions.

   Note: When deploying with GitHub Actions, the token is automatically configured.

4. Start the development server:

   npm run dev
   

5. Open your browser and navigate to http://localhost:5173

🔧 Available Scripts

• npm run dev - Start the development server
• npm run build - Build the project for production
• npm run preview - Preview the production build locally
• npm run deploy - Deploy to GitHub Pages

📚 Categories

The collection includes resources for:

• Machine Learning
• Deep Learning
• Natural Language Processing
• Computer Vision
• Data Quality
• Federated Learning
• Synthetic Data
• Privacy-Preserving ML
• Large Language Models
• Multimodal Learning
• Explainable AI
• And more...

🤝 Contributing

We welcome contributions from the community! Here's how you can contribute:

Adding a New Tool

1. Fork the repository
2. Edit src/data/entries.js and add your tool in the appropriate category:

   {
     title: "Your Tool Name",
     link: "https://link-to-tool",
     description: "Brief description of the tool",
     github: "github-username/repo", // Optional
     tag: "Category Name"
   }

3. Create a pull request with your changes

Improving the Application

1. Fork the repository
2. Create a new branch for your feature or fix
3. Make your changes
4. Submit a pull request

Guidelines

• Make sure the tool is relevant to the AI/ML ecosystem
• Provide a concise and accurate description
• Include the appropriate category/tag
• Ensure there are no duplicates

🔧 Technologies Used

• React
• Tailwind CSS
• Vite

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

👨‍💻 Maintainers

• AI Data Foundation Team

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Star the repo if you find it useful! ⭐