ZeroML – Build. Train. Deploy. Version. Visualize. Optimize. All in one platform.

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🌟 ZeroML – The Hybrid ML Platform

ZeroML is a visual-first, fully extensible ML platform that lets you:

• Build end-to-end ML pipelines with drag-and-drop ease
• Train, fine-tune, and optimize models efficiently
• Clean and version data with prompt-driven automation
• Deploy production-grade APIs in seconds

All pipelines, models, and datasets are fully versioned and ready for collaboration.

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🧠 Hybrid Strategy

Model Size	Training	Deployment	Versioning
Small	Local / Hugging Face	HF Endpoints	Hugging Face Hub
Large	RunPod	RunPod API	Hugging Face Hub

Showcase fast, scale smart, and manage all your ML assets centrally.

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🚀 Features

1️⃣ End-to-End ML Pipeline

• Drag-and-drop pipeline builder
• Prompt-driven data cleaning & feature engineering
• Real-time training metrics & model visualization

2️⃣ Deployment & Versioning

• Deploy anywhere: HF Endpoints, RunPod, or your own server
• Every dataset, model, and pipeline is versioned for reproducibility

3️⃣ Optimization & Tuning

• Hyperparameter tuning with live feedback
• GPU/CPU utilization optimization for maximum efficiency
• Smart batching, checkpointing, and memory management

4️⃣ Extensible & Modular

• Integrate your custom libraries
• Plugin system for data processing, models, or deployment backends

5️⃣ Visualizations

• Interactive training curves
• Feature importance & correlation maps
• Compare multiple models side by side

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📚 Documentation

Comming soon...

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🤝 Contributing

We welcome contributions! Whether it’s fixing bugs, adding features, or improving documentation, your help is highly appreciated. Follow the instructions below to get the project running locally.

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🛠 Setup Instructions

1. Frontend

1. Navigate to the frontend folder:

cd web

2. Install dependencies:

npm install

3. Start the development server:

npm run dev

• The frontend will be accessible at: http://localhost:3000

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2. Backend

1. Navigate to the backend folder:

cd api

2. Sync and run the backend:

uv sync
uv run main.py

Managing Dependencies

• Add a dependency:

uv add <dependency_name>

• Remove a dependency:

uv remove <dependency_name>

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✅ Tips for Contributors

• Make sure to pull the latest changes before starting your work.
• Follow consistent code formatting (Prettier/ESLint recommended).
• Test your changes thoroughly before creating a pull request.
• Provide a clear description of your changes in the PR.

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Thanks for contributing! Your help makes this project better for everyone. 🚀

🛡 License

ZeroML is licensed under the Apache-2.0 License

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🔥 Join the ZeroML Revolution

Build. Train. Deploy. Version. Visualize. Optimize. All in one.

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