semvec/pypi-packages huggingface dataset:
hula 0.1.0.0
Experimental learning methods. The first appearance of these methods.

# hula-0.1.0.0
*First working version.*


### What is hula?

Hula is a set of unconventional machine learning modules. Hula is designed to unify the desired aspects of most machine learning capabilities out there. 

### Documentation

For Hula's documentation visit https://robert-bassett-coder.gitbook.io/workspace/
algo-battle 0.1.1.post2
Educational Project to let different algorithms compete against each other. Currently only available in German.
Requires Python: >=3.5

# Algo Battle


![Algo Battle](https://raw.githubusercontent.com/coderdojoka/algo-battle/master/screenshot.png)

## Installation

Basiert auf Python3, idealerweise in einer virtuellen Umgebung installieren:

```bash
python3 -m venv venv
. venv/bin/activate
pip3 install algo-battle
```

## Starten

```bash
python3 -m algo_battle GUI
```

## Anleitung

Eine ausführliche Anleitung zur Verwendung ist unter [Anleitung](https://github.com/coderdojoka/algo-battle/tree/master/anleitung) zu finden.
pysvg-py3 0.2.2.post3
Python 3 portage of pysvg

pysvg-py3
=========

pysvg-py3 is a Python 3 portage of popular library [pysvg](http://codeboje.de/pysvg/). **I am not the original author
of the library**.

The original code has been duplicated, then lib2to3 has been used with default parameters to update the code
for Python 3. Original code were also patched to run well on Python 3. See :
 - PR #4, related to issue #3 (thanks to @virresh)

The resulting library is available on Pypi
> Note: the root module has name 'pysvg' to silently replace the original version on Python 3 environments. For that
reason, you should remove the original package before installing this one.

    pip uninstall pysvg
    pip install pysvg-py3
data-generator-postgresql-pkg 0.0.1.3
Data generator for postgres

Put conf.cnf with such setting in one dir with data_generator and insert_to_db.
This is how to position settings in conf.cnf

varchar int date	//list of datatypes, spaces separated
100000			//count of lines in file
landing_zone/		//landing_zone path
done/			//done path
error/			//error path
log.txt			//log.txt file path and name
10			//how many file generate each hour
mydb			//database name
postgres		//username
qwop1290		//password
192.168.10.155		//host name
test users nana		//tables name, for what generate data
0.03			//how many files in total GB size add to postgres
insert_dummy_function	//name of postgresql function, what inserts data
pyrap-web 1.0.1
pyRAP is a framework for implementing extremely powerful and beautiful web-based AJAX applications in pure Python. No HTML. No JavaScript. No PHP. Just pure Python. It has been designed as a lightweight, easy-to-use yet powerful library that makes development of SaaS applications as easy and fast as possible.
Keywords: AJAX applications,python,web development

Welcome to pyRAP!
=================

pyRAP is a framework for implementing extremely powerful and beautiful 
web-based AJAX applications in pure Python. No HTML. No JavaScript. 
No PHP. Just pure Python. It has been designed as a lightweight, 
easy-to-use yet powerful library that makes development of SaaS 
applications as easy and fast as possible.

  * Project Page: https://pyrap.org/
  * Lead developers: 
    * Daniel Nyga (nyga@cs.uni-bremen.de)
    * Mareike Picklum (mareikep@cs.uni-bremen.de)

Release notes
-------------

  * Version 1.0.1 (17.05.2019)
    * *Release*: Initial release


Documentation
-------------

  * https://pyrap.org/index.html
pracmln 1.2.4
Markov logic networks in Python
Keywords: statistical relational learning,mln,Markov logic networks,reasoning,probcog

pracmln -- Markov logic networks in Python
==========================================

pracmln is a toolbox for statistical relational learning and reasoning and provides a pure python implementation of Markov logic networks. pracmln is a statistical relational learning and reasoning system that supports efficient learning and inference in relational domains. pracmln has started as a fork of the ProbCog toolbox and has been extended by latest developments in learning and reasoning by the Institute for Artificial Intelligence  at the University of Bremen, Germany.


  * Project Page: http://www.pracmln.org
  * Lead developer: Daniel Nyga (nyga@cs.uni-bremen.de)


Installation
------------

    $ pip install pracmln
    

Documentation
-------------

pracmln comes with its own sphinx-based documentation. To build it, conduct the following actions:

    $ cd path/to/pracmln/doc
    $ make html

If you have installed Sphinx, the documentation should be build. Open
it in your favorite web browser:

    $ firefox _build/html/index.html

Sphinx can be installed with

    $ sudo pip install sphinx sphinxcontrib-bibtex