nvalchemi-training-api
nvalchemi-training-api is a Model training & evaluation skill for AI agents, published by NVIDIA in the nvalchemi-toolkit repository on GitHub. Skillspace rates nvalchemi-training-api D (58/100) and it passed the safety scan; the rating is based on static analysis only.
How to configure nvalchemi training workflows with TrainingStrategy, custom training functions, standalone or composed losses, loss-weight schedules, optimizer and scheduler configs, validation, hooks, restartable checkpoints, and model-agnostic inputs. Use when training a model from scratch or setting up optimizers, schedulers, validation, or checkpointing for a training run; for adapting a pretrained model, see nvalchemi-fine-tuning.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 117
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
- 81 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.