semvec/pypi-packages huggingface dataset:
inference-worker 0.12.0
A package to handle ML model inference tasks.
Requires Python: >=3.6

# Inference Worker

`inference_worker` is a Python package designed to handle machine learning model inference tasks. It provides a straightforward interface for integrating model inference into your applications, making it easier to deploy machine learning models and manage inference requests.

## Features

- Easy-to-use API for running inference with machine learning models.
- Supports integration with RabbitMQ for asynchronous message handling.
- Simplifies HTTP requests for data retrieval.

## Installation

You can install the package using pip:

```bash
pip install inference_worker
```

## Usage
Here’s a quick example of how to use the inference_worker package:


## Dependencies

This package depends on the following Python libraries:

- pika: For RabbitMQ message handling.
- requests: For making HTTP requests.

## Contributing

Contributions are welcome! If you'd like to contribute to inference_worker, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Make your changes and commit them (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Open a pull request.

## License

This project is licensed under the MIT License. See the LICENSE file for details.

## Contact

For questions or suggestions, feel free to reach out:

    Your Name - your.email@example.com
    GitHub: yourusername
manimxyzmove 0.0.4
Utitlity to move along an (x,y,z) defined path in manim.
Requires Python: >=3.8

# XYZPath
## Basic description
This package contains the `MoveAlongXYZPath` object. It is a simple utility that allows for moving across a path defined by an array of vectors (optionally with timestamps).  

## Motivation
I had a few simulations that returned data in this form. It seemed like an obvious use case but all high level classes in manim required really backwards ways of implementing (afaik, maybe I just missed something).

## Future works
- I might add some interpolation options to the object to allow for smooth movement with less samples. 

## Disclaimer
This is the first project I've packaged. It's mostly for personal learning.