Welcome to the AI Platform repository! This platform is designed to streamline the development and deployment of AI models, providing a flexible and scalable environment for experimentation and production use.
- Model Development: Easily create, train, and evaluate machine learning models using popular frameworks like TensorFlow, PyTorch, and scikit-learn.
- Experiment Tracking: Keep track of your experiments with comprehensive logging and visualization tools.
- Model Serving: Deploy trained models as RESTful APIs for real-time inference.
- Scalability: Scale your infrastructure seamlessly to handle increasing workloads.
- Customization: Tailor the platform to your specific needs with modular components and extensible APIs.
- Security: Ensure the security of your data and models with robust authentication and access control mechanisms.
To get started with the AI Platform, follow these steps:
-
Clone the Repository: Clone this repository to your local machine using
git clone. -
Install Dependencies: Install the necessary dependencies by running
pip install -r requirements.txt. -
Configure Environment: Set up your environment variables and configurations as per the provided templates.
-
Run the Platform: Start the AI Platform using the provided scripts or commands.
-
Explore and Experiment: Explore the platform's capabilities and experiment with different models and configurations.
For detailed documentation on how to use the AI Platform, refer to the documentation folder.