semvec/pypi-packages huggingface dataset:
zenx 1.0.6
ZenX: Text data Optimizer
License: Apache-2.0
Requires Python: >=3.6

# ZenX: Text Data Optimizer

## Introduction

ZenX is an advanced optimizer designed to enhance text data processing with efficiency, balance, and innovation. Inspired by the principles of Zen, it achieves peak performance with minimal effort, while the 'X' signifies acceleration, transformation, and cutting-edge capabilities. ZenX streamlines text processing workflows, making them more efficient, accurate, and adaptable to various applications.

## Installation

To install ZenX, run the following command:

```bash
pip install zenx
```

## Example Usage

You can use ZenX in your text optimization workflows as shown below:

```python
import tensorflow as tf
from loglu import LogLU
from zenx import ZenX  # ZenX Text Optimizer

# Define an RNN model
model = tf.keras.models.Sequential([
    tf.keras.layers.Embedding(input_dim=5000, output_dim=128, input_length=100),
    tf.keras.layers.SimpleRNN(128, activation=LogLU()),
    tf.keras.layers.Dense(10, activation='softmax')
])

# Compile the model with ZenX optimizer
model.compile(
    optimizer=ZenX(
        learning_rate=0.001,
        beta_1=0.9,
        beta_2=0.999,
        epsilon=1e-7
    ),
    loss='categorical_crossentropy',
    metrics=['accuracy']
)
model.summary()
```

## Feedback & Contributions

If you have feedback or would like to contribute, please feel free to open an issue or contribute on GitHub.

Contact: Email: poorni.m0405@gmail.com, rishichaitanya888@gmail.com

Company: XenReZ ([www.xenrez.co.in](https://xenrez.co.in/))
For collaborations, reach out to us at xenrez.ai@gmail.com.


## License

ZenX is released under the [Apache License 2.0](https://github.com/Rishichaitanya-Nalluri/ZenX/blob/main/LICENSE).
vidtoolz-apply-fadein-fadeout 0.0.1
Apply fadein-fadeout effects on videos 
License: Apache-2.0

# vidtoolz-apply-fadein-fadeout

[![PyPI](https://img.shields.io/pypi/v/vidtoolz-apply-fadein-fadeout.svg)](https://pypi.org/project/vidtoolz-apply-fadein-fadeout/)
[![Changelog](https://img.shields.io/github/v/release/sukhbinder/vidtoolz-apply-fadein-fadeout?include_prereleases&label=changelog)](https://github.com/sukhbinder/vidtoolz-apply-fadein-fadeout/releases)
[![Tests](https://github.com/sukhbinder/vidtoolz-apply-fadein-fadeout/workflows/Test/badge.svg)](https://github.com/sukhbinder/vidtoolz-apply-fadein-fadeout/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/sukhbinder/vidtoolz-apply-fadein-fadeout/blob/main/LICENSE)

Apply fadein-fadeout effects on videos 

## Installation

First install [vidtoolz](https://github.com/sukhbinder/vidtoolz).

```bash
pip install vidtoolz
```

Then install this plugin in the same environment as your vidtoolz application.

```bash
vidtoolz install vidtoolz-apply-fadein-fadeout
```
## Usage

type ``vid fadeinout --help`` to get help

```bash
usage: vid fadeinout [-h] [-d DURATION] [-o OUTPUT]
                     video {fadein,fadeout,both}

Apply fadein-fadeout effects on videos

positional arguments:
  video                 Path to the input video file.
  {fadein,fadeout,both}
                        Type of fade effect to apply.

optional arguments:
  -h, --help            show this help message and exit
  -d DURATION, --duration DURATION
                        Duration of the fade effect in seconds. (Default 1)
  -o OUTPUT, --output OUTPUT
                        Path for the output video file. Defaults to
                        'output_video.mp4'.

```


## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd vidtoolz-apply-fadein-fadeout
python -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
pip install -e '.[test]'
```
To run the tests:
```bash
python -m pytest
```