Audio Mel Spectrogram Preprocessing with Min-Width Trimming
Agent skill for Data Scientist, ML / AI Engineer, Data Analyst, published by ECNU-ICALK. Project details and file access are provided by the publisher.
ORIGINAL REPOSITORY
ECNU-ICALK/AutoSkill ↗GitHub activity
- Stars
- 610
- Forks
- 60
- Open issues and PRs
- 3
- Repository size
- ~287,488 KB
- Default branch
- main
- Created
- Feb 4, 2026
- Repository updated
- Nov 3, 2026
- Last push
- May 10, 2026
- Language
- Python
Topics agent-skills · continual-learning · experience-driven-lifelong-learning · self-evolving
Repository-wide figures from GitHub, checked Nov 4, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Availability
- Reference listing — files at the original project; no Dave AI download
- Fields of work
- Data & Analytics, Development & Engineering
- Roles
- Data Scientist, ML / AI Engineer, Data Analyst
- Specialties
- API, Backend
- Tools & integrations
- Librosa, Numpy
- Country applicability
- Country not specified
- Credit basis
- Repository publisher; individual authorship is not asserted
- Publisher
- ECNU-ICALK
- Official website
- https://github.com/ECNU-ICALK/AutoSkill/blob/main/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/audio-mel-spectrogram-preprocessing-with-min-width-trimming/SKILL.md
- Last checked
- Nov 5, 2026
- License
- Not specified
- Last record update
- Nov 5, 2026