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keras-tuner

keras-team/keras-tuner

A Hyperparameter Tuning Library for Keras

GraphCanon updated Oct 2, 2026 · GitHub synced Oct 2, 2026

43views this month

2.9k stars406 forksLast push Dec 1, 2025 Python Apache-2.0

Decision brief

KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.

Good fit when

  • - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies.
  • - When your team prefers a framework that tightly integrates with Keras, leveraging its built-in capabilities for better performance and ease of use.

Avoid when

  • - Avoid if your current machine-learning stack does not include Python and TensorFlow 2.0+ as primary dependencies.
  • - Not recommended if you seek hyperparameter tuning solutions that are more generic or compatible with a wider range of ML frameworks beyond Keras.

Observed Jul 16, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Slowing (304d since push)
As of Oct 2, 2026
Provenance
Not a fork · Organization account
As of Oct 2, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install keras-tuner
PyPI

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

KerasTuner is designed to work with Python and TensorFlow to perform hyperparameter optimization for machine-learning tasks.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Oct 2, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Oct 2, 2026)

KerasTuner requires **Python 3.8+** and **TensorFlow 2.0+**.
Source link

Tags

README

Installation KerasTuner requires Python 3.8+ and TensorFlow 2.0+ . Install the latest release: You can also check out other versions in our GitHub repository.

For agents

This page has a .md twin and JSON over the API.

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