semvec/pypi-packages huggingface dataset:
ai-games 0.1.6
AI Games: Collection of interactive games with AI opponents for Python.

# AI Games

Welcome to AI Games, a Python package featuring various games with AI opponents.

## Installation

You can install AI Games using pip:

```bash
pip install ai_games
```

## Connect Four with AI

The Connect Four with AI game in this package is adapted from a tutorial on YouTube created by [Keith Galli](https://www.youtube.com/@KeithGalli). 


```python
from ai_games import Connect4Game, Config

# Custom configuration
config = Config(row_count=6, column_count=7)

# Initialize the game
game = Connect4Game(config=config)

# Start playing
game.play()
```

## Features

- Play against an AI opponent.
- Customizable game settings.
- Easy-to-use interface.
- Easy-to-understand code.


## Games Available

- Connect Four with AI (Currently available)

## Future Updates

Stay tuned for future updates as we add more exciting games to the AI Games package!

## Contributors

- [Benjamin M](https://github.com/bzm10) - Creator and maintainer
- [Channel](https://youtube.com/@codingwithbm) - Youtube

## License

This project is licensed under the MIT License - see the [LICENSE](https://github.com/bzm10/ai_games/blob/main/LICENSE) file for details.
pylinweb 1.9.6
A simple functional test library using Python and Selenium
Keywords: selenium, testing, web, chrome

# Pylinweb

Pylinweb es una biblioteca de pruebas funcionales simple que utiliza Python, Selenium y Chrome driver.

## Pre-requisitos

Antes de instalar Pylinweb, asegúrate de tener instalado lo siguiente:

- Python 3.12.2
- Node.js 16.14.0
- JDK 11.0.16.1

## Instalación

Puedes instalar Pylinweb usando pip:

```bash
pip install pylinweb
```

Si necesitas una versión específica de Pylinweb, puedes especificarla así:

```bash
pip install pylinweb==version
```
## Uso

Una vez instalado, puedes usar Pylinweb con varios argumentos:

| Argumento   | Descripción                                           |
|-------------|-------------------------------------------------------|
| --version   | Imprime la versión de Pylinweb.                       |
| --setup     | Copia el directorio de la aplicación e instala las dependencias. |
| --run-tests | Ejecuta las pruebas.                                  |
| --report-html    | Genera un informe en html.                                    |
| --report-word      | Genera un informe en formato word. |
| --reset      | Elimina directorios innecesarios.  |
| --open-app   | Ejecuta y abre la aplicación del framework  |
| --help  -h    | Muestra la ayuda y explica cómo usar los argumentos.  |

Por ejemplo, para imprimir la versión de Pylinweb, puedes usar:

```bash
pylinweb --version
```
Para configurar tu aplicación, puedes usar:

```bash
pylinweb --setup
```
Esto copiará el directorio de la aplicación e instalará las dependencias necesarias.

Para ejecutar las pruebas, debes ubicarte dentro de la carpeta framework_web y ejecutar el siguiente comando:

```bash
pylinweb --run-tests
```
Para generar un informe en allure html, debes ubicarte dentro de la carpeta framework_web y usar este comando:

```bash
pylinweb --report-html
```
Y para generar un informe en formato word, debes ubicarte dentro de la carpeta framework_web y usar este comando:

```bash
pylinweb --report-word
```

Reemplaza version con la versión específica de Pylinweb que deseas instalar.
optimal-data-selector 1.2.2
('A Package for optimize models, transfer or copy files from one directory to other, use for nlp short word treatment, choosing optimal data for ML models, use for Image Scraping , use in timeseries problem to split the data into train and test', 'Deal with emojis and emoticons in nlp,word tokenize,token, get the list of Punctuation marks and English Pronouns too, can be used to read text files')
Keywords: transfer or copy files from one directory to other, get best data combination, read text files, text files, lock data combination, save data, English, Pronouns, Punctuations, English pronouns, Model training, optimise accuracy, lock data combination, gives best result, best data for ML models, works on text data also, short word treatment, Image Scraping, download images, Web Image Scraping, timeseries, splitting timeseries data into train and test, deal with emojis and emoticons, emoji, emojis, emoticon, emoticons, word tokenize, NLP, short words, short words treatment, get best accuracy, performence enhancing, best data, more accurate model building, word to token, tokenizer

A package to increase the accuracy of ML models, transfer or copy files from one directory to other,  gives you the best data for model training, works on text data also, short word treatment for NLP problems, can be used for Image Scraping also, use it to split the timeseries data into training and testing, deal with emojis and emoticons,word tokenizer,tokenize words,can be use to remove stop words too,Punctuations and get English Pronouns list too, use to read text files
AAVT 0.2
A Python package for Video Translate and Some Tools for Video
Requires Python: >=3.8

# Chenyme-AAVT 
> AI Auto Video(Audio) Translation

Thank you very much for visiting my AI Auto Video-Audio Translation project! This project aims to provide an easy-to-use, fully automatic video translation tool to help you quickly recognize voices and translate subtitles, then merge the translated subtitles with the original video, allowing you to achieve video translation more efficiently.

It is recommended to use the Faster-whisper and Large models to obtain the best sentence segmentation and recognition experience.

Attention: Before enabling GPU acceleration, you need to download CUDA and PyTorch, and ensure that the PyTorch version matches CUDA. Otherwise, if the program identification fails, GPU acceleration will be disabled by default.


## Using python

AAVT is a Python library designed to simplify video processing and content generation tasks.

## Installation


```bash
pip install AAVT


# if CPU
pip install torch torchvision torchaudio


# !!! if GPU
# please intall cuda and pytorch
# Note that you need a version of CUDA 12 or higher. 
# And install a version of PyTorch that corresponds with your CUDA version.

# !!! if you are using CUDA 11, you will need to downgrade ctranslate2.
pip install --force-reinstall ctranslate2==3.24

```



## Documents
[AAVT](https://zwho5v3j233.feishu.cn/wiki/OGcrwinzhi88MkkvEMVcLkDgnzc?from=from_copylink)