feste

Feste is a free and open-source framework allowing scalable composition of NLP tasks using a graph execution model that is optimized and executed by specialized schedulers.

https://github.com/perone/feste

Science Score: 44.0%

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

  • CITATION.cff file
    Found 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 (8.8%) to scientific vocabulary

Keywords

deep-learning language-model machine-learning nlp
Last synced: 6 months ago · JSON representation ·

Repository

Feste is a free and open-source framework allowing scalable composition of NLP tasks using a graph execution model that is optimized and executed by specialized schedulers.

Basic Info
Statistics
  • Stars: 42
  • Watchers: 4
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
deep-learning language-model machine-learning nlp
Created about 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License Citation

README.md

Feste

lint test codecov Documentation Status License

⚡ Installation

pip install feste

📖 Documentation

Please see here for the documentation about:

  • Installation
  • Getting started
  • Tutorials
  • API documentation

Owner

  • Name: Christian S. Perone
  • Login: perone
  • Kind: user
  • Location: London, United Kingdom

Machine Learning / Research

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Perone"
  given-names: "Christian"
title: "Feste"
date-released: 2023-04-01
url: "https://github.com/perone/feste"

GitHub Events

Total
  • Fork event: 1
Last Year
  • Fork event: 1

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 10
  • Total Committers: 2
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.1
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Christian S. Perone c****e@g****m 9
Firmino Changani f****i@g****m 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 11 minutes
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.67
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • perone (2)
  • flowck (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 9 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: feste

Scalable NLP compositions with graph optimizations.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9 Last month
Rankings
Dependent packages count: 6.6%
Stargazers count: 13.1%
Average: 18.7%
Downloads: 19.9%
Forks count: 23.2%
Dependent repos count: 30.6%
Maintainers (1)
Last synced: 6 months ago

Dependencies

.github/workflows/docs.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
  • peaceiris/actions-gh-pages v3 composite
.github/workflows/lint.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
.github/workflows/test.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • codecov/codecov-action v3 composite
setup.py pypi
  • cloudpickle >=2.2.1
  • cohere >=4.0.1
  • dagviz >=0.3.0
  • dask >=2023.2.0
  • jinja2 >=3.1.2
  • openai *
  • python-iso639 >=2023.2.4
  • rich >=13.3.1
  • toolz >=0.12.0