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Open Source Science

https://github.com/bagustris/compare2023_share

Another attempt to ComParE 2023 Emotion Share

https://github.com/bagustris/compare2023_share

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 (5.9%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Another attempt to ComParE 2023 Emotion Share

Basic Info
  • Host: GitHub
  • Owner: bagustris
  • Language: Python
  • Default Branch: master
  • Size: 66.4 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created about 3 years ago · Last pushed about 2 years ago
Metadata Files
Readme

README.md

compare2023_share

Another attempt for ComParE 2023 Emotion Share

Forked from https://github.com/VincentKaras/a-vb-emotions
See my other attempt: https://github.com/bagustris/compare2023

Virtual Environment

$ conda create -n compare2023_share python=3.9 $ conda activate compare2023_share

Installation

$ pip install -r requirements.txt $ pip install git+https://github.com/end2you/end2you.git

Running the code (example of use)

For using specific GPU, use CUDA_VISIBLE_DEVICES environment variable. For example, to use GPU 1, run the following command: $ CUDA_VISIBLE_DEVICES=1 ./train.py -n "window_6" --window_size 6 train --train_dataset_file /data/14_ComParE23_HPC_AIST-SPRT/data/lab/train.csv --val_dataset_file /data/14_ComParE23_HPC_AIST-SPRT/data/lab/devel.csv --test_dataset_file /data/14_ComParE23_HPC_AIST-SPRT/data/lab/test.csv --wav_folder /data/14_ComParE23_HPC_AIST-SPRT/data/wav/

See run_batch.sh for running in batch mode.

Validation score

Use the calculate_spearman.py command to calculate the (Spearman) score of results (change the path of the true labels with your own).

$ ./calculate_spearman.py result/2023-06-22-14-50-14/

Owner

  • Name: Bagus Tris Atmaja
  • Login: bagustris
  • Kind: user
  • Location: Tsukuba
  • Company: AIST

Researcher @aistairc @VibrasticLab

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 19
  • Total Committers: 1
  • Avg Commits per committer: 19.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Bagus Tris Atmaja b****a@a****p 19
Committer Domains (Top 20 + Academic)
aist.go.jp: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • 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
View more stats
Top Authors
Issue Authors
  • bagustris (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • bitsandbyotes ==0.39.1
  • liac-arff ==2.5.0
  • librosa ==0.10.0.post2
  • matplotlib *
  • pandas ==1.4.3
  • pynvml ==11.5.0
  • pytorch-lightning ==2.0.3
  • pytorch-model-summary ==0.1.2
  • ray ==2.5.0
  • scikit-learn ==1.2.2
  • scipy ==1.10.1
  • seaborn ==0.12.2
  • tabulate ==0.9.0
  • tensorboard ==2.13.0
  • tensorboardx ==2.6.1
  • torch-tb-profiler ==0.4.1
  • torchaudio ==2.0.2
  • tqdm ==4.65.0
  • transformers ==4.30.2