Our verdict
We have not reviewed Keras Tuner 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 Keras Tuner
A library for automating hyperparameter search in Keras models. It integrates with the Keras workflow and supports multiple search algorithms like Random Search and Bayesian Optimization. The library helps identify optimal hyperparameter configurations for improved model performance.
Best for
Developers using Keras who need automated hyperparameter optimization
Use cases
- Tuning learning rates and layer sizes for Keras neural networks
- Searching over hyperparameter spaces to find best validation metrics
- Automating hyperparameter optimization in Keras model training pipelines
Notes
2,924 stars on GitHub. Last updated 2025-12-01. Licensed Apache-2.0.
Pros
- Seamless integration with Keras and TensorFlow
- Multiple built-in search algorithms
- Open source with an active community
Cons
- Limited to Keras and TensorFlow models only
- Hyperparameter search can be computationally intensive
- Not a general-purpose tuning tool for other frameworks
Key facts
What we have checked
- Latest version
- 1.4.8 (released 11 Nov 2025)
- GitHub stars
- 2,922
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 Keras Tuner is growing
2,924 to 2,922
Sources
Where this comes from
- GitHubOfficial
- 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
Released 1.4.8
Released 1.4.7
Released 1.4.6
Released 1.4.5
Released 1.4.4
Released 1.4.3
Released 1.4.2
Released 1.4.1
Released 1.4.0
Released 1.4.0rc0
Pairs with
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