semvec/pypi-packages huggingface dataset:
vilpi 0.1
Python package for visualizing PyTorch models

# PyTorch Model Visualizer

## Introduction
This library is a Python tool designed to help machine learning practitioners and researchers visualize the architecture of PyTorch models. By representing each layer as a colored block, it offers a clear and intuitive understanding of a model's structure, aiding in analysis and debugging.

## Features
- Visualize PyTorch model layers as colored blocks.
- Customize the maximum number of layers per subplot.
- Easy integration into PyTorch workflows.

## Installation
This tool requires Python and PyTorch, along with Matplotlib for visualization. Ensure these are installed in your environment:
```pip install vilpi```

## Warning
This library is designed for small models, so do not use it for large models.

## Required Libraries for visualisation
pip install matplotlib
py-url-analyzer 0.0.2
A simple URL analyzer

# py-url-analyzer

URL Analyzer is a Python package for analyzing website performance metrics.

## Installation

To install the package, use the `pip install` command:

```bash
pip install py-url-analyzer
```

## Usage

Here's a basic example of how to use `url-analyzer` package:

```python
from url_analyzer import analyze

url = 'criaway.com'

analyze(url).get('load_time')
```

## Testing

To run tests for the url-analyzer package, use the following command:

```bash
python -m unittest url_analyzer_test.py
```

## Contributions

Contributions are welcome! If you find any issues or have ideas to improve the package, feel free to open an issue or submit a pull request.

## License

This package is distributed under the MIT license. See the LICENSE file for more information.