semvec/pypi-packages huggingface dataset:
anylearning 0.0.3
Train your own AI models with ease
Requires Python: >=3.12

# AnyLearning

Train your own AI models with ease.

## Installation

```bash
pip install anylearning
```

## Usage

- Train object detection model with YOLOv10: [https://github.com/vietanhdev/anylearning/blob/main/notebooks/yolov10-object-detection.ipynb](https://github.com/vietanhdev/anylearning/blob/main/notebooks/yolov10-object-detection.ipynb).
gpu-runner 0.0.7
Run a command requiring GPU resources
Requires Python: >=3.7

# GPU Runner

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
[![cosmoquester](https://circleci.com/gh/cosmoquester/python3-template.svg?style=svg)](https://app.circleci.com/pipelines/github/cosmoquester/python3-template)

GPU Runner is a Python package that provides a simple way to run a function on a GPU.
magql-sqlalchemy 1.1.0
Generate a Magql GraphQL API from SQLAlchemy models.
Requires Python: >=3.10

# Magql-SQLAlchemy

[Magql] is a [GraphQL] framework for Python. It's pronounced "magical", and
it is! This extension allows generating a complete API from [SQLAlchemy]
database models. After the schema is generated, it can be modified to add,
remove, or change any behavior. Here's some of the features Magql-SQLAlchemy
provides:

-   `item` and `list` queries, and `create`, `update`, and `delete`
    mutations for each model.
-   Database queries are efficient, using SQLAlchemy's relationship loading
    techniques to eagerly load relationships that are present anywhere in the
    operation structure.
-   The list query can be filtered using multiple rules. Attributes can be
    filtered across relationships. Rules can be grouped and joined using AND and
    OR. Lists can be sorted by any column and paginated.
-   The create mutation recognizes null and default column values. The update
    mutation allows updating any field independently.
-   The create and update mutations validate unique constraints.
-   A universal `search` query to search all string columns of all models.
-   A `check_delete` query to check the effects of deleting a row before doing so.

[Magql]: https://magql.autoinvent.dev
[GraphQL]: https://graphql.org
[SQLAlchemy]: https://sqlalchemy.org
orango 0.1.0
Secure sandboxed cloud and edge environments made for AI agents and AI apps
Requires Python: <4.0,>=3.10

<p align="center">
  <img width="100" src="https://orango.ai/logo.svg" alt="Orango AI logo">
</p>

<h1 align="center">
  Orango Sandboxes
</h1>

<h3 align="center">
  Secure sandboxed cloud and edge environments made for AI agents and AI apps
</h3>

<h4 align="center">
  <a href="https://orango.ai/docs/">Docs</a> &#124;
  <a href="https://orango.ai">Website</a> &#124;
  <a href="https://orango-ai.slack.com">Slack</a> &#124;
  <a href="https://x.com/Orango_AI">Twitter</a>
</h4>

## What is Orango AI&#63;

Orango AI Sandbox is a secure sandboxed cloud environment made for AI agents and AI
apps. Sandboxes allow AI agents and apps to have long running cloud secure
environments. In these environments, large language models can use the same
tools as humans do. For example&#58;

- Cloud browsers
- GitHub repositories and CLIs
- Coding tools like linters, autocomplete, &quot;go-to defintion&quot;
- Running LLM generated code
- Audio &amp; video editing

**The Orango AI sandbox can be connected to any LLM and any AI agent or app.**

---

### Getting started &amp; documentation

&gt; Please visit [documentation](https://orango.ai/docs) to get started.

To create and control a sandbox, you use our SDK&#58;

## Installation

```sh
pip install orango
```

## Usage

```python
from orango import Sandbox

def run():
    sandbox = Sandbox.create(api_key='your-api-key-here', template_id='your-template-id-here')
    sandbox.exec('x = 1')

    execution = sandbox.exec('x += 1; x')
    print(execution['result'])  # outputs 2

    sandbox.close()

if __name__ == '__main__':
    run()
```

## Integration with LLM Frameworks

## SDKs

1. [JS SDK](https://www.npmjs.com/package/@orango-ai/sdk)
2. [Python] (https://pypi.org/project/orango)
3. [CLI](https://www.npmjs.com/package/@orango-ai/cli)
4. [Documentation](https://orango.ai/docs/)

---

## Links

- [Support](mailto:hello@orango.ai)
- [Dashboard](https://orango.ai/dashboard)
- [API Reference](https://orango.ai/docs/api-reference)
- [Community](https://orango-ai.slack.com)
- [Blog](https://orango.ai/blog)

## Footer Socials

- [X (Twitter)](https://x.com/Orango_AI)
- [GitHub](https://github.com/Orango-AI)
- [LinkedIn](https://www.linkedin.com/company/orango-ai)

```

```