semvec/pypi-packages huggingface dataset:
way2package2 0.1
A Docker and AWS utility package

# mypackage

A testing package for **Digital Kites** processes.

## Installation

Make sure you have [python](http://nodejs.org/) and [pip](https://www.npmjs.com/) installed.

```sh
pip install mypackage
```


## Usage

```sh
import mypackage

obj = {
    app_ip:"x.x.x.x",  // optional 
    app_name:"your pm2 app name",  // optional
    app_id: 1, // pm2 process id (optional)
    date: Math.floor(new Date().setHours(0, 0, 0, 0) / 1000), // your date epoch in seconds
    time: Math.floor(Date.now() / 1000), // your time epoch in seconds
    message: "some message",//your message
    status: "online",
    log_level:"info" //["fatal", "error", "warn","info","debug"]
}

mypackage.printMessage(obj)
```

#### How to include in your process:

```sh
//Note:Must include this in the first line of your file(which is started with pm2).
//Note:Make sure this snippet runs in production envirnoment.
const dk_logger = require('dk-logger');

dk_logger.setApiKey('YOUR API KEY');

});
```
odkewa 0.1.0
Data collection platform based on ODK standards
Requires Python: >= 3.7

#ODK FORMS

This project is an application that allows us to generate data-collection forms from an excel spreadsheet.

#How to use.

To start you need an xls file that complies with XLSForm specifications.

First we use xls2json.py to convert our .xls (or .xlsx) file to JSON.

Next we convert it from JSON to HTML using json2html.py.

Now we are ready to run __init__.py to run our Flask application.

#Restrictions 

* field names must comply with the following regular expression:  [a-zA-Z_][a-zA-Z0-9_]*
way2package 19.2.3
A Docker and AWS utility package

# mypackage

A testing package for **Digital Kites** processes.

## Installation

Make sure you have [python](http://nodejs.org/) and [pip](https://www.npmjs.com/) installed.

```sh
pip install mypackage
```


## Usage

```sh
import mypackage

obj = {
    app_ip:"x.x.x.x",  // optional 
    app_name:"your pm2 app name",  // optional
    app_id: 1, // pm2 process id (optional)
    date: Math.floor(new Date().setHours(0, 0, 0, 0) / 1000), // your date epoch in seconds
    time: Math.floor(Date.now() / 1000), // your time epoch in seconds
    message: "some message",//your message
    status: "online",
    log_level:"info" //["fatal", "error", "warn","info","debug"]
}

mypackage.printMessage(obj)
```

#### How to include in your process:

```sh
//Note:Must include this in the first line of your file(which is started with pm2).
//Note:Make sure this snippet runs in production envirnoment.
const dk_logger = require('dk-logger');

dk_logger.setApiKey('YOUR API KEY');

});
```
coocop 0.2
Copyout and CopyPaiting Image Augmentation
Requires Python: >=3.6
Keywords: augmentation CNN

# COOCOP - Copyout and CopyPaiting implementation
This is an implementation of the Copyout and CopyPairing image augmentation techniques. The paper about this can be found here: [Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing](https://arxiv.org/abs/1909.00390)

## Installation
Install or update with pip:
```
pip install coocop -U
```

Install development version:
```
pip install git+https://github.com/t-systems-on-site-services-gmbh/coocop.git -U
```

## Citation / BibTeX
This is how you can cite this work with LaTeX / BibTeX:
```
@article{Copyout,
title = "{Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing}",
author = {Philip May},
journal = {arXiv.org},
year = "2019",
archivePrefix = {arXiv},
eprint = {arXiv:1909.00390 [cs.CV]},
url = {https://arxiv.org/abs/1909.00390},
}
```