semvec/pypi-packages huggingface dataset:
repols 1.1.2
List GitHub repositories filtered by team
Requires Python: >=3.6

repols is a CLI application that lists GitHub repositories and
optionally repository metadata.

Installation
============

Create a GitHub personal access token. The application reads the value
of your token from standard input each time you run it.

The application is available at PyPI. Install it from there using the
following command:

    pip install repols

You can also install directly from the source code by issuing the
following command in the project root:

    pip install .

Usage
=====

By default, the application simply outputs a list of repository names.
The following command will pipe the list to a file:

    repols ORGANISATION TEAM > CSV_FILE

If the include option is used, the application outputs the fields
indicated by the user instead. The following example, for instance, will
display a list containing the repository names and information on
whether the repositories have been archived.

    repols  --include name --include archived ORGANISATION TEAM > CSV_FILE

Any of the following fields can be included: "archived", "created\_at",
"description", "name".

The application reads the personal access token from standard input. In
the following example the password is piped from a password manager:

    pass git-pat | repols ...

Type the following command for more documentation:

    repols --help
ch-nn 1.0.0
This is a simple but function completed neural networks framework
Requires Python: >=3.6

## ABOUT

This is a simple deep learning framework created by ch_wong
mail:wchh811@gmail.com
self_frame.py

## Features 

+ Define Dynamic Computing Graph
+ Define Neural Network Operator
+ Define Linear, Sigmoid, L2_loss  
+ Auto-Diff Computing 
+ Auto-Feedforward and Backward
joji 1.2.0
convert a word to corresponding emoji
Keywords: text to emoji

# Joji 
Joji convert a text to corresponding emoji if emoji is available

## How it Works ?
```
1. There is a json file with emoji names as keys and corresponding unicode of emojis as values.
2. There is a method that check if the input word is in the key space of the json. If yes then will return corresponding value.
3. There is a method that do similarity matching of word against the keys in json and return the emoji unicode corresponding to the key with maximum similarity value.
4. There is a threshold to avoid False Positives.
5. If both checking and matching don't return anything, just return the word - means there is no emoji for that word. 
```

## Libraries used
- [Spacy](https://spacy.io)
## How to configure 
```
python setup.py install 
```

## Install

Joji is now available in pip

```
pip install joji
```

## How to Run 

```python
>> from joji.jojify import Jojify
>> print(Jojify.predict("dracula"))
('🧛', 'U+1F9DB', 0.5509367532053601)
>> print(Jojify.predict("ganja"))
('🌿', 'U+1F33F', 0.2860632682239092)
>> print(Jojify.predict("ironman"))
('🦸', 'U+1F9B8', 0.40435058484084363)
>> print(Jojify.predict("good night"))
('👌🌃', ['U+1F44C', 'U+1F303'], 0.7178929764409834)
```

## How to Test 
```
pytest tests
```

## Future work
1. Maybe add [vaaku2vec](https://github.com/adamshamsudeen/Vaaku2Vec) and create malayalam text to emoji