semvec/pypi-packages huggingface dataset:
dlfx 0.1.7
A collection of utility functions for medical imaging.
Requires Python: >=3.10

# dlfx

A collection of utility functions for medical imaging.

## Installation

You can install the package using uv:

```bash
uv add dlfx
```

## Usage

Import the package as follows:

```python
import dlfx

# Example usage:
# flat_dcm = dlfx.flatten_dicom_dataset(dicom)
```
diffaaable 1.2.1
JAX-differentiable AAA algorithm
Requires Python: >=3.9
Keywords: python

# diffaaable 1.2.1

![](docs/assets/diffaaable.png)

`diffaaable` is a JAX differentiable version of the AAA algorithm. The derivatives are implemented as custom Jacobian Vector products in accordance to [^1].
A detailed derivation of the used matrix expressions is provided in the appendix of [^2].
Under the hood `diffaaable` uses the AAA implementation of [`baryrat`](https://github.com/c-f-h/baryrat).
Additionaly the following application specific extensions to the AAA algorithm are included:

- **Adaptive**: Adaptive refinement strategy (called *Iterative Sample Refinement* (ISR) in the corresponding paper) to minimize the number of function evaluation needed to precisely locate poles within some domain
- **Vectorial**: AAA algorithm acting on vector valued functions $\mathbf{f}(z)$ as presented in [^3].
- **Tensor**: Convenience alternative to the vector valued AAA algorithm (`vectorial`) accepting a tensor valued function F_k (so arbitrary dimensionality) instead of the single dimension that `vectorial` requires.
- **Lorentz**: Variant that enforces symmetric poles around the imaginary axis.
- **Selective Refinement**: Use a divide and conquer theme to capture many pole simultaneously and accurately, by limiting the number of poles per AAA solve. Suggested in [^4].

## Installation
to install `diffaaable` run
`pip install diffaaable`

## Usage
Please refer to the [quickstart tutorial](./usage.md)

## Contributing
Feel free to open issues and/or PRs.

## Citation
When using this software package for scientific work please cite the associated publication [^2].

+++

[^1]: https://arxiv.org/pdf/2403.19404
[^2]: "A framework to compute resonances arising from multiple scattering", https://doi.org/10.1002/adts.202400989
[^3]: https://doi.org/10.1093/imanum/draa098
[^4]: https://doi.org/10.48550/arXiv.2405.19582
steeleagle-sdk 1.0.16
SDK for interacting with SteelEagle vehicles.
Requires Python: >=3.11
Keywords: autonomous, robots, edge, vision, drone, uav, uas, ugv

# SteelEagle SDK: Controller Library for SteelEagle Vehicles

The SteelEagle SDK provides a programming interface for SteelEagle-compliant vehicles.
Users can send messages over the native API, using gRPC and Protobuf, or use higher level
primitives through Pydantic. This package also provides a compiler for SteelEagle DSL (.dsl)
files.

## License
SteelEagle SDK is released under GPL-2.0.

## Supported Platforms
Linux
caosadvancedtools 0.16.0
Advanced utilities for LinkAhead
Requires Python: >=3.10

# README

## Welcome

This is the **LinkAhead Advanced User Tools** repository and a part of the
LinkAhead project.

This project contains tools that are beyond the typical use of
the LinkAhead python client. Especially, this includes the crawler which will
typically be used by a data curator.

## Setup

Please read the [README_SETUP.md](README_SETUP.md) for instructions on how to
setup this code.

## Further Reading

Please refer to the [official
documentation](https://docs.indiscale.com/caosdb-advanced-user-tools/) for more
information.

## Contributing

Thank you very much to all contributers—[past,
present](https://gitlab.com/linkahead/linkahead/-/blob/dev/HUMANS.md), and prospective
ones.

### Code of Conduct

By participating, you are expected to uphold our [Code of
Conduct](https://gitlab.com/linkahead/linkahead/-/blob/dev/CODE_OF_CONDUCT.md).

### How to Contribute

- You found a bug, have a question, or want to request a feature? Please [create
  an issue](https://gitlab.com/linkahead/linkahead-advanced-user-tools/-/issues).
- You want to contribute code? Please fork the repository and create a merge
  request in GitLab and choose this repository as target. Make sure to select
  "Allow commits from members who can merge the target branch" under
  Contribution when creating the merge request. This allows our team to work
  with you on your request.
- If you have a suggestion for the
  [documentation](https://docs.indiscale.com/caosdb-advanced-user-tools/), the
  preferred way is also a merge request as describe above (the documentation
  resides in `src/doc`). However, you can also create an issue for it.
- You can also contact us at **info (AT) indiscale.com** and join the LinkAhead
  community on
  [#linkahead:matrix.org](https://matrix.to/#/!unwwlTfOznjEnMMXxf:matrix.org).

## License

* Copyright (C) 2018 Research Group Biomedical Physics, Max Planck Institute
  for Dynamics and Self-Organization Göttingen.
* Copyright (C) 2020-2025 Indiscale GmbH <info@indiscale.com>

All files in this repository are licensed under a [GNU Affero General Public
License](LICENCE.md) (version 3 or later).
LibMGE 1.0.0b12
LibMGE is a powerful graphical user interface library for developing 2D programs and games.
Requires Python: >=3.5
Keywords: 2D, game development, graphics, GUI, SDL, game engine, graphics library, animation

# LibMGE

[![PyPI version](https://badge.fury.io/py/LibMGE.svg)](https://pypi.org/project/LibMGE/)
[![License: Zlib](https://img.shields.io/badge/License-Zlib-blue.svg)](https://opensource.org/licenses/Zlib)
[![Python](https://img.shields.io/pypi/pyversions/LibMGE.svg)](https://pypi.org/project/LibMGE/)

**LibMGE** is a powerful and easy-to-use graphical user interface library for developing 2D programs and games in Python.

## ✨ Features

- 🎮 Simple and intuitive API for 2D game development
- 🖼️ Built-in support for images and animated GIFs
- ⚡ Frame rate control and performance monitoring
- 🎨 Material and texture system
- ⌨️ Keyboard and event handling
- 🪟 Flexible window management

## 📦 Installation

```bash
pip install LibMGE
```

## 🔧 Dependencies

- [numpy](https://pypi.org/project/numpy/) - For efficient numerical operations
- [SDL2](https://github.com/libsdl-org/SDL) (bundled) - For graphics rendering

## 🚀 Quick Start

Here's a simple example that displays an animated GIF:

```python
import LibMGE

# Initialize the library
LibMGE.init()

# Create a window
window = LibMGE.Window(
    resolution=(500, 500), 
    flags=LibMGE.WindowFlag.Shown
)
window.frameRateLimit = 60

# Create a 2D object and load a GIF
gif = LibMGE.Object2D((0, 0), 0, (500, 500))
gif.material = LibMGE.Material(
    LibMGE.Texture(LibMGE.LoadImage("./image.gif"))
)

# Main loop
while True:
    LibMGE.update()
    window.update()
    window.title = f"LibMGE OpenGif | FPS: {window.frameRate}"
    
    # Exit on quit event or F1 key
    if LibMGE.QuitEvent() or LibMGE.keyboard(LibMGE.KeyboardButton.KeyF1):
        exit()
    
    gif.drawObject(window)
```

## 📚 Documentation

For detailed documentation and tutorials, visit:
- **Official Documentation**: [docs.libmge.org](https://docs.libmge.org/)
- **Website**: [libmge.org](https://libmge.org/)

## 🔗 Links

- **PyPI Package**: [pypi.org/project/LibMGE](https://pypi.org/project/LibMGE/)
- **Source Code**: [github.com/MonumentalGames/LibMGE](https://github.com/MonumentalGames/LibMGE)
- **Author Website**: [lucasguimaraes.pro](https://lucasguimaraes.pro/)

## 📝 License

LibMGE is distributed under the [zlib License](https://opensource.org/licenses/Zlib). This license allows you to freely use it in any software, whether personal, commercial, or open-source projects.

## 💻 Compatibility

LibMGE officially supports **Windows**. With some modifications, it can also run on:
- 🐧 **Linux** (experimental)
- 🤖 **Android** (experimental)

> **Note**: For best stability and performance, we recommend using LibMGE on Windows. Community contributions for better cross-platform support are welcome!

## 👤 Author

**Lucas Guimarães**
- Website: [lucasguimaraes.pro](https://lucasguimaraes.pro/)
- Email: commercial@lucasguimaraes.pro

---

**Current Version**: 1.0.0b12