semvec/pypi-packages huggingface dataset:
nlp-tarte 0.0.1
A framework for disambiguation
License: MIT
Requires Python: >=3.6.0


Tarte
=======================

A secondary layer for pie for disambiguation

# What it aims to do

- This tagger is supposed to come as a secondary layer for lemma that should be disambiguated.
- Its core object (`Tarte`) should filter things that need to be disambiguated
- Its training capacities should reorganize a training set so that it dispatch training samples across all sets and
it should not care about sample not containing unambiguous tokens.
- It takes POS, lemma context and form characters into the network to predict the disambiguated form.

# Notes

- Given that not all sentences will have things to disambiguate, pretraining vector might be an important task. It
 is [possible with PyTorch](https://stackoverflow.com/questions/49710537/pytorch-gensim-how-to-load-pre-trained-word-embeddings)
 to load Gensim data easily. This would **require** to generate temps file where lemma AND pos are fed to 
 fake sentences.
dcron 0.9.19
Distributed Cronlike Scheduler
License: MIT
Requires Python: >=3.7
Keywords: Python,Python3

## Distributed Cronlike Scheduler [![Build Status](https://travis-ci.org/witlox/dcron.svg?branch=master)](https://travis-ci.org/witlox/dcron)

The aim of dcron is to offer [cron](https://en.wikipedia.org/wiki/Cron) like behaviour spanning multiple machines. 
The system offers a web interface to manage your jobs, and reports the health of the cluster. 
Everything is self contained, so you only need to start the system to have a working setup. 
We do however recommend that you run the system behind a reverse proxy, since there is no authentication mechanism.
Please check the [docs](https://dcron.readthedocs.io) regarding installation, configuration and options.  

## Details

- dcron requires Python 3.7+ in order to work.
- all nodes running dcron need to have the same software installed you want dcron to run
- dcron runs tasks at-most-once (according to schedule)

## Installation

``pip install dcron``