QuickML is a platform to streamline the way machine learning models are developed and deployed for edge devices in labs. Our mission is to democratize AI, making it accessible and efficient for scientists and developers of all skill levels.
Neural Architecture Search (NAS): Automatically find efficient model architectures using reinforcement learning. Hardware-Aware Optimization: Tailor models for specific edge devices, considering hardware constraints. Simple Interface: Design and train models without deep ML expertise. Performance Metrics: Track accuracy, speed, and resource usage during model development. Easy Deployment: Deploy models to edge devices with minimal steps. Experiment Tracking: Log and compare results across different model versions and devices.
-
Clone the repository:
git clone https://github.com/your-username/quickml.git -
Install dependencies:
cd quickml npm install -
Run the development server:
npm run dev -
Open http://localhost:3000 in your browser to see the magic happen!
- Frontend: Next.js, React, TypeScript
- UI Components: Radix UI, Tailwind CSS
- State Management: React Context API
- API Integration: RESTful APIs with fetch
- Deployment: Vercel (frontend), Docker (backend)
Made with ❤️