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nlp-gala

https://github.com/lisatwyw/nlp-gala

Science Score: 57.0%

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
    Found 3 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 2 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

nlp-gala

Examples

Below are examples implemented in Python Streamlit

To launch each of above app, please click on the blue buttom Yes, get this app back up!

Tutorials

Citations

Please consider citing this repo: @software{lisatwyw_2024_11247650, author = {lisatwyw}, title = {lisatwyw/nlp-gala: v0.0.1-alpha}, month = may, year = 2024, publisher = {Zenodo}, version = {v0.0.1-alpha}, doi = {10.5281/zenodo.11247650}, url = {https://doi.org/10.5281/zenodo.11247650} }

Owner

  • Login: lisatwyw
  • Kind: user

Citation (citation.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Tang
    given-names: Ying Wai
    orcid: 
title: "NLP Gala"
version: 2.0.4
identifiers:
  - type: doi
    value: 
date-released: 2023-10-11

GitHub Events

Total
  • Push event: 22
Last Year
  • Push event: 22

Dependencies

code/setup.py pypi
requirements.txt pypi
  • Jinja2 ==3.1.2
  • Markdown ==3.5.1
  • MarkupSafe ==2.1.3
  • Pillow ==10.1.0
  • Werkzeug ==3.0.1
  • absl-py ==2.0.0
  • astor ==0.8.1
  • asttokens ==2.4.1
  • astunparse ==1.6.3
  • autograd ==1.6.2
  • autograd_gamma ==0.5.0
  • blis ==0.7.10
  • cachetools ==5.3.2
  • catalogue ==2.0.10
  • certifi ==2023.11.17
  • charset-normalizer ==3.3.2
  • click ==8.1.7
  • comm ==0.2.0
  • confection ==0.1.4
  • contourpy ==1.1.1
  • cycler ==0.12.1
  • cymem ==2.0.7
  • debugpy ==1.8.0
  • decorator ==5.1.1
  • ecos ==2.0.12
  • exceptiongroup ==1.2.0
  • executing ==2.0.1
  • filelock ==3.13.1
  • flatbuffers ==20190709135844
  • fonttools ==4.45.1
  • formulaic ==0.6.6
  • future ==0.18.2
  • gast ==0.5.4
  • google-auth ==2.23.4
  • google-pasta ==0.2.0
  • google_auth_oauthlib ==1.0.0
  • grpcio ==1.57.0
  • h5py ==3.8.0
  • idna ==3.5
  • interface-meta ==1.3.0
  • ipykernel ==6.26.0
  • ipython ==8.18.0
  • jedi ==0.19.1
  • joblib ==1.3.2
  • jupyter_client ==8.6.0
  • jupyter_core ==5.5.0
  • keras ==2.14.0
  • kiwisolver ==1.4.5
  • langcodes ==3.3.0
  • libclang ==14.0.1
  • lifelines ==0.27.8
  • matplotlib ==3.7.2
  • matplotlib_inline ==0.1.6
  • ml_dtypes ==0.2.0
  • mpmath ==1.3.0
  • murmurhash ==1.0.9
  • nest_asyncio ==1.5.8
  • networkx ==3.2.1
  • nltk ==3.8.1
  • numexpr ==2.8.4
  • numpy ==1.25.2
  • oauthlib ==3.2.2
  • opt_einsum ==3.3.0
  • osqp ==0.6.2.post5
  • packaging ==23.2
  • pandas ==2.1.0
  • parso ==0.8.3
  • pathy ==0.10.3
  • pexpect ==4.8.0
  • platformdirs ==4.0.0
  • polars ==0.18.4
  • preshed ==3.0.8
  • prompt_toolkit ==3.0.41
  • protobuf ==4.25.1
  • psutil ==5.9.5
  • ptyprocess ==0.7.0
  • pure_eval ==0.2.2
  • pyasn1 ==0.5.1
  • pyasn1_modules ==0.3.0
  • pydantic ==1.10.13
  • pygments ==2.17.2
  • pyparsing ==3.0.9
  • python-dateutil ==2.8.2
  • pytz ==2023.3.post1
  • pyzmq ==25.1.1
  • qdldl ==0.1.5.post3
  • regex ==2023.8.8
  • requests ==2.31.0
  • requests_oauthlib ==1.3.1
  • rsa ==4.9
  • scikit_learn ==1.1.2
  • scikit_survival ==0.18.0
  • scipy ==1.11.2
  • six ==1.16.0
  • smart-open ==6.4.0
  • spacy ==3.6.0
  • spacy-loggers ==1.0.5
  • spacy_legacy ==3.0.12
  • spacytextblob ==4.0.0
  • srsly ==2.4.5
  • stack_data ==0.6.3
  • sympy ==1.12
  • tensorboard ==2.14.1
  • tensorboard-data-server ==0.7.2
  • tensorflow ==2.14.0
  • tensorflow_estimator ==2.14.0
  • tensorflow_io_gcs_filesystem ==0.32.0
  • termcolor ==2.3.0
  • textblob ==0.15.3
  • thinc ==8.1.10
  • threadpoolctl ==3.2.0
  • torch ==2.0.1
  • tornado ==6.3.3
  • tqdm ==4.66.1
  • traitlets ==5.13.0
  • typer ==0.9.0
  • typing_extensions ==4.8.0
  • tzdata ==2023.3
  • urllib3 ==2.1.0
  • wasabi ==1.1.2
  • wcwidth ==0.2.12
  • wrapt ==1.14.1
demos/transcribe-app/requirements.txt pypi
  • gensim *
  • openai-whisper *
  • streamlit *