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https://github.com/arish-mhrjn/aimodelinspector

A fairly comprehensive Python library allowing for exploration, self-education and categorizaton of AI models
https://github.com/arish-mhrjn/aimodelinspector

ai analysis coreml-models diffusers diffusion-models ggml hdf5-format jax model-discovery model-insights openvino-models pytorch scikit-learn scikitlearn-machine-learning

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A fairly comprehensive Python library allowing for exploration, self-education and categorizaton of AI models

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README

          

# AI Model Inspector 🧠🔍

![GitHub release](https://img.shields.io/github/release/arish-mhrjn/aimodelinspector.svg) ![GitHub issues](https://img.shields.io/github/issues/arish-mhrjn/aimodelinspector.svg) ![GitHub stars](https://img.shields.io/github/stars/arish-mhrjn/aimodelinspector.svg)

Welcome to **AI Model Inspector**, a comprehensive Python library designed for exploring, self-educating, and categorizing AI models. This library simplifies the process of analyzing various AI frameworks, making it easier for developers and researchers to understand and manage their models effectively.

## Table of Contents

- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Supported Frameworks](#supported-frameworks)
- [Contributing](#contributing)
- [License](#license)
- [Releases](#releases)
- [Contact](#contact)

## Features

- **Model Exploration**: Dive deep into the architecture and performance of various AI models.
- **Self-Education**: Access educational resources to understand the underlying principles of AI models.
- **Categorization**: Organize models based on their characteristics and functionalities.
- **Support for Multiple Formats**: Work with various model formats, including PyTorch, TensorFlow, ONNX, and more.
- **User-Friendly Interface**: Easy-to-navigate interface for both beginners and experienced users.
- **Visualization Tools**: Built-in tools to visualize model performance and architecture.

## Installation

To get started with **AI Model Inspector**, follow these simple steps:

1. Clone the repository:
```bash
git clone https://github.com/arish-mhrjn/aimodelinspector.git
```
2. Navigate to the project directory:
```bash
cd aimodelinspector
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```

## Usage

Using **AI Model Inspector** is straightforward. Here's a basic example to get you started:

```python
from aimodelinspector import ModelInspector

# Load a model
model = ModelInspector.load_model('path/to/your/model')

# Explore the model
model.summary()

# Visualize performance
model.visualize_performance()
```

For detailed usage instructions, please refer to the [documentation](https://github.com/arish-mhrjn/aimodelinspector/wiki).

## Supported Frameworks

**AI Model Inspector** supports a wide range of AI frameworks, including:

- **PyTorch**
- **TensorFlow**
- **ONNX**
- **CoreML**
- **HDF5**
- **JAX**
- **Scikit-Learn**
- **Diffusers**
- **GGUF**
- **GGML**

This diverse support allows you to analyze models from different ecosystems seamlessly.

## Contributing

We welcome contributions to enhance **AI Model Inspector**. If you have ideas, improvements, or bug fixes, please follow these steps:

1. Fork the repository.
2. Create a new branch:
```bash
git checkout -b feature/YourFeature
```
3. Make your changes and commit them:
```bash
git commit -m "Add your message here"
```
4. Push to the branch:
```bash
git push origin feature/YourFeature
```
5. Create a pull request.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

## Releases

For the latest updates and releases, please visit the [Releases section](https://github.com/arish-mhrjn/aimodelinspector/releases). Here, you can download the latest version and see what's new in each release.

## Contact

If you have any questions or suggestions, feel free to reach out:

- **Author**: Arish Mhrjn
- **Email**: arish@example.com
- **Twitter**: [@arish_mhrjn](https://twitter.com/arish_mhrjn)

Thank you for checking out **AI Model Inspector**! We hope this library helps you in your AI model exploration and management journey. Happy coding!