Core AI engine for node optimization and decision-making.
PiBrain-Core is a high-performance AI engine designed for node optimization and decision-making in the Pi Network. It is built using state-of-the-art machine learning models and advanced optimization techniques to provide efficient and effective solutions for network optimization problems.
The following is the directory structure of the PiBrain-Core repository:
PiBrain-Core/
├── src/ # Source code
│ ├── ai_engine/ # AI engine core
│ │ ├── __init__.py # Initialization file
│ │ ├── optimizer.py # AI optimizer for node configuration
│ │ ├── decision_maker.py # Decision-making module for node actions
│ ├── model/ # Machine learning models
│ │ ├── __init__.py # Initialization file
│ │ ├── optimizer.py # AI optimizer model
│ ├── config/ # Configuration files
│ │ ├── config.py # AI engine configuration
│ ├── data/ # Data storage and preprocessing
│ │ ├── preprocess.py # Data preprocessing module
│ │ ├── data_loader.py # Data loading module
│ ├── tests/ # Unit tests and integration tests
│ │ ├── __init__.py # Initialization file
│ │ ├── test_optimizer.py # AI optimizer tests
│ │ ├── test_decision.py # Decision-making tests
├── requirements.txt # Required packages and dependencies
├── architecture.md # Architecture documentation
└── README.md # This file
To install the required packages and dependencies, run the following command:
1. pip install -r requirements.txt
To use PiBrain-Core, follow these steps:
1. git clone https://github.com/KOSASIH/PiBrain-Core.git
1. cd PiBrain-Core
1. python src/ai_engine/main.py
If you would like to contribute to PiBrain-Core, please read our contributing guidelines.
PiBrain-Core is released under the MIT License.
For any questions or concerns, please contact us at info@pi-brain.com.