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# Universal Consensus AI | ||
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Welcome to the Universal Consensus AI repository, a cutting-edge artificial intelligence project that aims to revolutionize the field of machine learning. | ||
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## Overview | ||
This repository contains a collection of advanced AI models and tools, including neural networks and decision trees, designed to tackle complex problems in various domains. | ||
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## Features | ||
* **Neural Network**: A highly customizable and scalable neural network implementation, capable of handling large datasets and complex tasks. | ||
* **Decision Tree**: A robust and efficient decision tree algorithm, suitable for classification and regression tasks. | ||
* **Evaluation Tools**: A suite of evaluation metrics and visualization tools to assess the performance of AI models. | ||
* **Utils**: A collection of helper functions and utilities to facilitate AI development and experimentation. | ||
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## Getting Started | ||
To get started with the Universal Consensus AI repository, follow these steps: | ||
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1. Clone the repository: `git clone https://github.com/KOSASIH/universal-consensus.git` | ||
2. Install the required dependencies: `pip install -r requirements.txt` | ||
3. Explore the codebase and familiarize yourself with the different components and tools. | ||
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## Contributing | ||
We welcome contributions to the Universal Consensus AI repository. If you're interested in contributing, please fork the repository and submit a pull request. | ||
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## License | ||
The Universal Consensus AI repository is licensed under the MIT License. | ||
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## Contact | ||
For any questions or feedback, please contact the maintainers at [kosasih@universal-consensus.ai](mailto:kosasih@universal-consensus.ai). |