semvec/pypi-packages huggingface dataset:
uvs-training-sdk 0.0.8
A sample python SDK for training and prediction with Unified Vision Service.
License: MIT
Requires Python: >=3.7
Keywords: vision datasets classification detection

# Unified Vision Service Model Customization

## Intro

Unified Vision Service Model Customization is a model training service that allows users like developers to easily train an image classification model (Multiclass only for now) or object detection model, with low-code experience and very little understanding in machine learning or computer vision required.

This is an example repo showing how to train a model and predict with the trained model in Unified Vision Service. A manually crafted Python SDK is provdied. **Note this is NOT an official UVS SDK that is ready for production usage/integration, but more for convenience of trying out UVS model customization service at the absence of official SDK support.**

## SDK Tutorial

For tutorial about how to use this python SDK to train and predict with UVS, checkout [this tutorial in Python notebook](./tutorial.ipynb).

## Vision Studio Tutorial

For tutorial about how to use Vision Studio to train and predict with UVS, checkout [this Vision Studio tutorial](VisionStudioDemo.md).

## Existing Custom Vision Customers

Refer to [export_cvs_data_to_coco.ipynb](export_cvs_data_to_coco.ipynb) for instructions or directly run [export_cvs_data_to_coco.py](export_cvs_data_to_coco.py) to export Custom Vision images and annotations to your own blob storage, which can be later used for UVS model customization training.

Once data is exported, you can use either SDK or Vision Studio to train with it.

## FAQ

For frequently asked questions or quick trouble shoot, checkout [FAQ](FAQ.md), including things like trouble shooting guide, quota information, etc.
fast21cmemu 1.0.0
Emulator of 21cmFAST summaries.
License: MIT
Requires Python: >=3.8,<3.12
Keywords: Epoch of Reionization,Cosmology

# 21cmEMU

[![PyPI](https://img.shields.io/pypi/v/FAST21cmEMU.svg)][pypi_]
[![Status](https://img.shields.io/pypi/status/FAST21cmEMU.svg)][status]
[![Python Version](https://img.shields.io/pypi/pyversions/FAST21cmEMU)][python version]
[![License](https://img.shields.io/pypi/l/FAST21cmEMU)][license]

[![Read the documentation at https://FAST21cmEMU.readthedocs.io/](https://img.shields.io/readthedocs/FAST21cmEMU/latest.svg?label=Read%20the%20Docs)][read the docs]
[![Tests](https://github.com/21cmFAST/FAST21cmEMU/workflows/Tests/badge.svg)][tests]
[![Codecov](https://codecov.io/gh/21cmFAST/FAST21cmEMU/branch/main/graph/badge.svg)][codecov]

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)][pre-commit]
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)][black]

[pypi_]: https://pypi.org/project/FAST21cmEMU/
[status]: https://pypi.org/project/FAST21cmEMU/
[python version]: https://pypi.org/project/FAST21cmEMU
[read the docs]: https://FAST21cmEMU.readthedocs.io/
[tests]: https://github.com/21cmFAST/FAST21cmEMU/actions?workflow=Tests
[codecov]: https://app.codecov.io/gh/21cmFAST/EMU21cmEMU
[pre-commit]: https://github.com/pre-commit/pre-commit
[black]: https://github.com/psf/black

## Features

- Uses Tensorflow to emulate the following summary statistics: 21-cm power spectrum, 21-cm global brightness temperature, IGM spin temperature, and neutral fraction.
- Uses 21cmFAST to analytically calculate the UV luminosity functions and the Thomson optical depth to the CMB.

## Requirements

- Tensorflow >= 2.6
- 21cmFAST

## Installation

You can install _FAST21cmEMU_ via [pip] from [PyPI]:
```console
$ pip install FAST21cmEMU
```

Note that you need `gcc` and the `fftw3` and `gsl` packages for the `21cmFAST` installation.

## Usage

Please see the [Command-line Reference] for details.

## Contributing

Contributions are very welcome.
To learn more, see the [Contributor Guide].

## License

Distributed under the terms of the [MIT license][license],
_EMU21cmFAST_ is free and open source software.

## Issues

If you encounter any problems,
please [file an issue] along with a detailed description.

## Credits

This project was generated from [@cjolowicz]'s [Hypermodern Python Cookiecutter] template.

[@cjolowicz]: https://github.com/cjolowicz
[pypi]: https://pypi.org/
[hypermodern python cookiecutter]: https://github.com/cjolowicz/cookiecutter-hypermodern-python
[file an issue]: https://github.com/21cmFAST/EMU21cmFAST/issues
[pip]: https://pip.pypa.io/

<!-- github-only -->

[license]: https://github.com/21cmFAST/EMU21cmFAST/blob/main/LICENSE
[contributor guide]: https://github.com/21cmFAST/EMU21cmFAST/blob/main/CONTRIBUTING.md
[command-line reference]: https://EMU21cmFAST.readthedocs.io/en/latest/usage.html