semvec/pypi-packages huggingface dataset:
oauth-valid 0.2.3
oauth valid and it serve some utility

# oauth-valid
Oauth valid served by zaeval.

It is using for nonprofit.

![](https://img.shields.io/badge/pip-v0.0.2-blue.svg)
![](https://img.shields.io/github/license/mashape/apistatus.svg)
![](https://img.shields.io/badge/require-requests%20%7C%20bs4-orange.svg)
![](https://img.shields.io/badge/author-zaeval-red.svg)
pygame-pgu 0.21
Phil's pyGame Utilities - a collection of handy modules and scripts for PyGame.

Phil's pyGame Utilities - a collection of handy modules and scripts for PyGame.

tileedit  -- edit tga based images
leveledit -- edit tga based levels in tile, isometric, and hexagonal formats

gui     -- gui with standard widget, dialog, connections, and themes
html    -- html rendering utilities
layout  -- layout utilities
text    -- text rendering utilities

tilevid -- sprite and tile engine
isovid  -- isometric sprite and tile engine
hexvid  -- hexagonal sprite and tile engine
engine  -- state engine
timer   -- a timer for games with set-rate FPS
high    -- high score tracking
ani     -- animation helpers
algo    -- helpful pathfinding algoritms
fonts   -- font wrappers, bitmapped fonts
news-inspector 0.1.1
News-inspector is a library for analyzing and extracting information from news articles

news-inspector
===========================================

[![MIT License](https://badgen.net/badge/license/MIT/)](http://opensource.org/licenses/MIT)
[![Scrutinizer Quality Score](https://scrutinizer-ci.com/g/rdorado/news-inspector/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/rdorado/site-analyzer/)
[![Build Status](https://travis-ci.com/rdorado/news-inspector.svg?branch=master)](https://travis-ci.com/rdorado/news-inspector)

News-inspector is a free software library for analyzing and acquiring information from news. It features various NLP and machine learning tasks that can be performed on text news articles:

* classification
* named entity recognition
* knowledge-based article search

All the methods can be easily configured and trained/retrained. Once trained, they can be loaded and used on new articles.

Requirements
===========================================

* Python >=3.4
* scikit-learn>=0.17.1
* sklearn-crfsuite>=0.3
* nltk>=3.24

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

```python
pip install news-inspector
```

Quick start
===========================================

Train the model:

```python 
from news_inspector import GenericClassifier
train_model(GenericClassifier, "myconfig.xml", "myclassifier.model");
```

Load and use the model:

```python
from news_inspector import load_model

model = load_model("myclassifier.model");
result = model.classify(text);
```


Documentation
===========================================

Read the docs at https://news-inspector.readthedocs.io/en/latest/.