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Open Source Science

https://github.com/dcavar/nlqk

Natural Language Qu Kit (NLQK)

https://github.com/dcavar/nlqk

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.8%) to scientific vocabulary

Keywords

artificial-intelligence natural-language-processing quantum-ai quantum-artificial-intelligence quantum-computing quantum-machine-learning quantum-nlp
Last synced: 4 months ago · JSON representation

Repository

Natural Language Qu Kit (NLQK)

Basic Info
  • Host: GitHub
  • Owner: dcavar
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage: https://nlqk.ai/
  • Size: 10.9 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 2
Topics
artificial-intelligence natural-language-processing quantum-ai quantum-artificial-intelligence quantum-computing quantum-machine-learning quantum-nlp
Created over 1 year ago · Last pushed 7 months ago
Metadata Files
Readme License

README.md

Natural Language Qu Kit (NLQK)

(C) 2024-2025 by Damir Cavar, NLP-Lab

Natural Language Qu Kit (NLQK) is a toolkit for Quantum AI (QAI) and Natural Language Processing (Q-NLP).

This is an Natural Language Processing Lab project.

Contributors

Introduction

What is the goal of this project?

The goals are to provide a library and programming environment for Natural Language Processing using a hybrid environment of classical and quantum computers. NLP tools and libraries are excellent environments for education and deployed business NLP applications:

There are some excellent Q-NLP libraries and tools as for example:

We aim at expanding these development environments (classical and quantum) to facilitate Quantum NLP engineering.

Links

Install

Use PyPi

pip install nlqk

Building

Install the required modules:

pip install -r requirements.txt

Test

Run all tests:

pytest tests

Run specific test categories:

pytest tests/embeddings # Embeddings and Vector-related tests pytest tests/testnlqk # Core NLQK tests pytest tests/testnlqk_corpus # Corpus tests

Documentation

Run this command to regenerate the library and API documentation:

pdoc -o docs/documentation/ nlqk/

Run the shell script (e.g., using bash):

./create_doc.sh

Owner

  • Name: Damir Cavar
  • Login: dcavar
  • Kind: user
  • Location: Bloomington, IN
  • Company: Indiana University

GitHub Events

Total
  • Release event: 4
  • Watch event: 2
  • Member event: 2
  • Push event: 48
  • Pull request event: 2
  • Create event: 4
Last Year
  • Release event: 4
  • Watch event: 2
  • Member event: 2
  • Push event: 48
  • Pull request event: 2
  • Create event: 4

Committers

Last synced: 4 months ago

All Time
  • Total Commits: 106
  • Total Committers: 2
  • Avg Commits per committer: 53.0
  • Development Distribution Score (DDS): 0.123
Past Year
  • Commits: 79
  • Committers: 2
  • Avg Commits per committer: 39.5
  • Development Distribution Score (DDS): 0.165
Top Committers
Name Email Commits
Damir Cavar d****r@m****m 93
James Bryan Graves j****g@M****l 13
Committer Domains (Top 20 + Academic)
me.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • datafatmunger (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 18 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
pypi.org: nlqk
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 18 Last month
Rankings
Dependent packages count: 10.5%
Average: 34.7%
Dependent repos count: 58.9%
Maintainers (1)
dcavar
Last synced: 4 months ago

Dependencies

.github/workflows/pypi_python-publish.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v3 composite
  • pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
.github/workflows/test_python-package.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v3 composite
pyproject.toml pypi
setup.py pypi