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aae-in-blues-formants

https://github.com/romeodetimmerman/aae-in-blues-formants

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
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: romeodetimmerman
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 5.82 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 11 months ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

author

Romeo De Timmerman

project summary

insert project summary

project structure

`` ├── LICENSE ├── README.md <- The top-level README for developers using this project. ├── data │ ├── interim <- Intermediate data that has been transformed. │ ├── processed <- The final, canonical data sets for modeling. │ └── raw <- The original, immutable data dump. │ ├── docs <- Documents │ ├── models <- Trained and serialized models, model predictions, or model summaries │ ├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering), │ the creator's initials, and a short-delimited description, e.g. │1.0-rdt-initial-data-exploration. │ ├── figures <- Generated graphics and figures to be used in reporting │ ├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g. │ generated withpip freeze > requirements.txt` │ ├── src <- Source code for use in this project. │ ├── init.py <- Makes src a Python module │ │ │ ├── data <- Scripts to download or generate data │ │ └── makedataset.py │ │ │ ├── features <- Scripts to turn raw data into features for modeling │ │ └── buildfeatures.py │ │ │ ├── models <- Scripts to train models and then use trained models to make │ │ │ predictions │ │ ├── predictmodel.py │ │ └── trainmodel.py │ │ │ └── visualization <- Scripts to create exploratory and results oriented visualizations └── visualize.py

(this project structure is based on the Cookiecutter Data Science template) ```

Owner

  • Login: romeodetimmerman
  • Kind: user

Citation (CITATION) 

Please cite this project as:

<insert citation>

GitHub Events

Total
  • Push event: 6
  • Create event: 1
Last Year
  • Push event: 6
  • Create event: 1

Dependencies

requirements.txt pypi
  • Jinja2 ==3.1.5
  • Markdown ==3.8.2
  • MarkupSafe ==3.0.2
  • PyYAML ==6.0.2
  • Werkzeug ==3.1.3
  • absl-py ==2.3.1
  • antlr4-python3-runtime ==4.9.3
  • astunparse ==1.6.3
  • certifi ==2025.7.14
  • cffi ==1.17.1
  • charset-normalizer ==3.4.2
  • cloudpickle ==3.1.1
  • contourpy ==1.3.0
  • cycler ==0.12.1
  • demucs ==4.0.1
  • dora_search ==0.1.12
  • einops ==0.8.0
  • filelock ==3.17.0
  • flatbuffers ==25.2.10
  • fonttools ==4.55.8
  • fsspec ==2024.12.0
  • gast ==0.6.0
  • google-pasta ==0.2.0
  • grpcio ==1.73.1
  • h5py ==3.14.0
  • hdbscan ==0.8.40
  • idna ==3.10
  • imbalanced-learn ==0.12.4
  • imblearn ==0.0
  • importlib_resources ==6.5.2
  • joblib ==1.4.2
  • julius ==0.2.7
  • keras ==3.10.0
  • kiwisolver ==1.4.7
  • lameenc ==1.8.1
  • libclang ==18.1.1
  • markdown-it-py ==3.0.0
  • matplotlib ==3.9.4
  • mdurl ==0.1.2
  • ml_dtypes ==0.5.1
  • mpmath ==1.3.0
  • namex ==0.1.0
  • networkx ==3.2.1
  • numpy ==1.26.4
  • omegaconf ==2.3.0
  • openunmix ==1.3.0
  • opt_einsum ==3.4.0
  • optree ==0.16.0
  • pandas ==2.2.3
  • patsy ==1.0.1
  • pillow ==11.1.0
  • protobuf ==5.29.5
  • pycparser ==2.22
  • pynndescent ==0.5.13
  • pyparsing ==3.2.1
  • pytz ==2024.2
  • requests ==2.32.4
  • retrying ==1.3.4
  • rich ==14.0.0
  • scikit-learn ==1.6.1
  • scipy ==1.13.1
  • seaborn ==0.13.2
  • shap ==0.48.0
  • slicer ==0.0.8
  • soundfile ==0.13.0
  • submitit ==1.5.2
  • sympy ==1.13.1
  • tensorboard ==2.19.0
  • tensorboard-data-server ==0.7.2
  • tensorflow ==2.19.0
  • tensorflow-io-gcs-filesystem ==0.37.1
  • termcolor ==3.1.0
  • threadpoolctl ==3.5.0
  • torch ==2.5.1
  • torchaudio ==2.5.1
  • tqdm ==4.67.1
  • treetable ==0.2.5
  • tzdata ==2025.1
  • umap-learn ==0.5.7
  • urllib3 ==2.5.0
  • wrapt ==1.17.2
  • xgboost ==2.1.4