Our verdict
We have not reviewed Model Search yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Model Search
Model Search is a Python library that automates the search over model architectures and hyperparameters to find optimal configurations. It tracks experiment metadata and performance metrics, making it usable within observability pipelines. The tool is community-maintained and integrates with standard ML workflows.
Best for
Data scientists and ML engineers automating model selection and experimentation
Use cases
- Automated hyperparameter tuning for classification and regression models
- Neural architecture search for deep learning experiments
- Experiment tracking and comparison across multiple model candidates
Notes
3,245 stars on GitHub. Last updated 2024-07-30. Licensed Apache-2.0.
Pros
- Open-source with 3.2k GitHub stars and active community support
- Written in Python, easy to integrate with existing ML stacks
- Reduces manual trial-and-error in model selection
Cons
- Requires significant computational resources for large search spaces
- Limited documentation and examples beyond basic usage
- Not suitable for real-time inference or production deployment without additional tooling
Key facts
What we have checked
- GitHub stars
- 3,235
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Model Search is growing
3,245 to 3,235
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
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