Hypernets
A General Automated Machine Learning framework for building domain-specific AutoML toolkits.
GraphCanon updated Oct 2, 2026 · GitHub synced Oct 2, 2026
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Decision brief
Hypernets is an AutoML framework supporting multiple ML frameworks for end-to-end AutoML solutions in specific domains.
Good fit when
- If your project requires integration with TensorFlow, Keras, PyTorch, Scikit-Learn, LightGBM or XGBoost within a single AutoML pipeline
- When you need advanced optimization algorithms and support for multi-objective problems such as MOEA/D and NSGA-II
Avoid when
- If the project is limited to only traditional machine learning libraries without deep-learning needs, consider more specialized tools with narrower focus
- Avoid if your team has strict time constraints; Hypernets' setup for domain-specific AutoML might require initial investment in understanding its abstraction layer
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (165d since push)
- As of Oct 2, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 2, 2026
- Security (OSV)
- 14 low (14 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install HypernetsSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Hypernets is an automated machine learning framework that simplifies the development of end-to-end AutoML solutions across various domains by supporting hyperparameter optimization and neuro-architecture search among other advanced optimization techniques. It supports multiple ML frameworks including TensorFlow, Keras, PyTorch, SciKit-Learn, LightGBM, and XGBoost.
Capability facts
- Languages
- python
Source: github.language · Oct 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 2, 2026)
python -m hypernets.examples.smoke_testingSource link
Tags
README
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For agents
This page has a .md twin and JSON over the API.