Metadata-Version: 2.1
Name: HoiSaAI
Version: 0.0.2
Summary: HoiSaAI is an open-source artificial intelligence (AI) project designed to harness the power of distributed computing for solving complex problems efficiently
Author-email: Mike Mo Shun Cheng <u3568882@connect.hku.hk>
Project-URL: Homepage, https://github.com/mikecheng18/hoisaai
Project-URL: Issues, https://github.com/mikecheng18/hoisaai/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE

# HoiSaAI

## What is HoiSaAI

HoiSaAI is an open-source artificial intelligence (AI) project designed to harness the power of distributed computing for solving complex problems efficiently. Leveraging cutting-edge machine learning algorithms and distributed computing frameworks, HoiSaAI tackles a wide range of challenges, from data analysis and predictive modeling to natural language processing and computer vision.

At its core, HoiSaAI aims to democratize access to AI capabilities by providing a scalable and adaptable platform that can be easily deployed across various environments, including cloud infrastructures, on-premises clusters, and edge devices. By distributing computational tasks across multiple nodes, HoiSaAI enables parallel processing, allowing users to tackle large-scale datasets and computationally intensive tasks with ease.

Key components of HoiSaAI include:

- Distributed Computing Infrastructure: A robust framework for distributing computational tasks across multiple nodes, optimizing resource utilization, and improving overall performance.
- Machine Learning Algorithms: State-of-the-art machine learning models and algorithms to solve diverse AI problems, including classification, regression, clustering, and reinforcement learning.
- Scalable Data Processing: Tools and utilities for efficient data ingestion, preprocessing, feature extraction, and transformation, ensuring seamless integration with existing data pipelines.
- Model Training and Evaluation: Facilities for training, tuning, and evaluating machine learning models using distributed computing resources, with support for hyperparameter optimization and model validation.
- Real-time Inference: APIs and endpoints for deploying trained models into production environments, enabling real-time inference and decision-making at scale. Whether you're a data scientist, AI researcher, or developer, HoiSaAI provides a flexible and extensible platform for experimenting with AI techniques, building custom solutions, and deploying AI-powered applications in diverse domains, such as healthcare, finance, retail, and beyond.

Join our community today and contribute to the future of AI innovation with HoiSaAI!

## Installation

Install jax and jaxlib from <https://jax.readthedocs.io/en/latest/installation.html>

```
pip install -U hoisaai
```

## Citing JAX

To cite this repository:

```
@software{
    hoisaai,
    author = {Mike Mo Shun Cheng},
    title = {HoiSaAI},
    url = {https://github.com/mikecheng18/hoisaai},
    version = {0.0.1},
    year = {2024},
}
```
