https://github.com/lromul/argus-birdsong
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: lRomul
- License: mit
- Language: Python
- Default Branch: master
- Size: 99.6 KB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 5 years ago
· Last pushed over 5 years ago
Metadata Files
Readme
License
README.md
Cornell Birdcall Identification
Source code of solution for Cornell Birdcall Identification competition.
Solution
Key points: * Log-scaled mel-spectrograms * CNN models * Low public/private score :)
Quick setup and start
Requirements
- Nvidia drivers, CUDA >= 10.2, cuDNN >= 7
- Docker, nvidia-docker
The provided Dockerfile is supplied to build an image with CUDA support and cuDNN.
Preparations
Clone the repo, build docker image.
bash git clone https://github.com/lRomul/argus-birdsong.git cd argus-birdsong make buildDownload and extract dataset to
datafolder.
Run
Run docker container
bash makeCreate folds split
bash python make_folds.pyTrain model
bash python train.py --experiment train_001
Owner
- Name: Ruslan Baikulov
- Login: lRomul
- Kind: user
- Location: Moscow, Russia
- Repositories: 5
- Profile: https://github.com/lRomul
Deep Learning Engineer
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total 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
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