semvec/pypi-packages huggingface dataset:
lauscher 1.0.1
Transform audio waveforms into spike trains using a biologically-plausible cochlea model.
Requires Python: >=3.7

<p align="center">
  <img src=".artwork/logo.png" width="80%" alt="LAUSCHER Logo"/>
</p>

# LAUSCHER – Flexible Auditory Spike Conversion Chain

If you find this package useful for your scientific work, please consider citing our paper 
https://ieeexplore.ieee.org/document/9311226
```
@article{cramer_heidelberg_2020,
	title = {The {Heidelberg} {Spiking} {Data} {Sets} for the {Systematic} {Evaluation} of {Spiking} {Neural} {Networks}},
	issn = {2162-2388},
	doi = {10.1109/TNNLS.2020.3044364},
	journal = {IEEE Transactions on Neural Networks and Learning Systems},
	author = {Cramer, B. and Stradmann, Y. and Schemmel, J. and Zenke, F.},
	year = {2020},
	pages = {1--14}
}
```

## Installation
*Lauscher* uses the [SoundFile](https://pysoundfile.readthedocs.io/en/latest/) package for parsing audio data.
On Linux, this library requires you to install `libsndfile` via your distribution's package manager, e.g. via `apt install libsndfile1`.

We recommend setting up a [virtualenv](https://github.com/pypa/virtualenv) (you'll need `apt install python3-venv` or similar) for your *lauscher* project:
```shell
git clone https://github.com/electronicvisions/lauscher.git
cd lauscher
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```

## Usage
Assuming you are working in a private copy of *lauscher* that has been installed as noted above, you can continue by calculating a first spiketrain from one of the included examples:
```shell
python -m lauscher test/resources/spoken_digit.flac my_first_spiketrain.npz --num_channels 70 --verbose
```
Note that due to the complexity of the implemented model, even short audio files might take multiple minutes to convert.
Memory consumption might be huge for long audio files.

## License
```
LAUSCHER - Flexbile Auditory Spike Conversion Chain
Copyright (C) 2020 Benjamin Cramer
                   Yannik Stradmann
                   Koshika Yadava

This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
```
aiopywttr 3.0.2
Asynchronous wrapper for wttr.in weather API
Requires Python: >=3.9
Keywords: forecast

# aiopywttr

[![CI](https://github.com/monosans/aiopywttr/actions/workflows/ci.yml/badge.svg)](https://github.com/monosans/aiopywttr/actions/workflows/ci.yml)
[![Downloads](https://static.pepy.tech/badge/aiopywttr)](https://pepy.tech/project/aiopywttr)

Asynchronous wrapper for [wttr.in](https://wttr.in) weather API.

Synchronous version [here](https://github.com/monosans/pywttr).

## Installation

```bash
pip install -U aiopywttr pywttr-models
```

## Documentation

<https://aiopywttr.readthedocs.io>

## Simple example

```python
async with aiopywttr.Wttr() as wttr:
    weather = await wttr.weather("Paris", language=aiopywttr.Language.EN)
print(weather.weather[0].avgtemp_c)
```

## License

[MIT](https://github.com/monosans/aiopywttr/blob/main/LICENSE)
aiopygismeteo 7.0.2
Asynchronous wrapper for Gismeteo API
Requires Python: >=3.9

# aiopygismeteo

[![CI](https://github.com/monosans/aiopygismeteo/actions/workflows/ci.yml/badge.svg)](https://github.com/monosans/aiopygismeteo/actions/workflows/ci.yml)
[![Downloads](https://static.pepy.tech/badge/aiopygismeteo)](https://pepy.tech/project/aiopygismeteo)

Асинхронная обёртка для [Gismeteo API](https://gismeteo.ru/api/).

Синхронная версия [здесь](https://github.com/monosans/pygismeteo).

## Разработка приостановлена

Для использования библиотеки нужен API токен, который можно запросить по электронной почте [b2b@gismeteo.ru](mailto:b2b@gismeteo.ru).

В настоящее время у разработчика отсутствует API токен, что делает невозможными тестирование и дальнейшую разработку.

Если вам нужна погодная библиотека без API токена, можете рассмотреть <https://github.com/monosans/aiopywttr>.

## Установка

```bash
pip install -U aiopygismeteo pygismeteo-base
```

## Документация

<https://aiopygismeteo.readthedocs.io>

## Пример

```python
async with aiopygismeteo.Gismeteo(token="56b30cb255.3443075") as gismeteo:
    search_results = await gismeteo.search.by_query("Москва")
    city_id = search_results[0].id
    current = await gismeteo.current.by_id(city_id)
print(current)
```

## License / Лицензия

[MIT](https://github.com/monosans/aiopygismeteo/blob/main/LICENSE)