weights-and-biases
weights-and-biases is a Model training & evaluation skill for AI agents, published by math-inc in the OpenGauss repository on GitHub. Skillspace rates weights-and-biases B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 1,237
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 87 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Using the public Weights & Biases MLOps platform
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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