Open Source · Observability
DEvol (DeepEvolution)
Early POC of genetic neural architecture search
Our verdict
We have not reviewed DEvol (DeepEvolution) 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 DEvol (DeepEvolution)
DEvol is a proof-of-concept implementation of genetic neural architecture search in Python. It uses a genetic algorithm to evolve neural network topologies for classification tasks. The project is experimental and not intended for production use.
Best for
Researchers and hobbyists experimenting with genetic neural architecture search
Use cases
- Exploring genetic algorithms for automated neural network design
- Prototyping small-scale architecture search experiments
- Learning how evolutionary methods can be applied to model selection
Notes
951 stars on GitHub. Last updated 2023-05-25. Licensed MIT.
Pros
- Minimal dependencies and easy to understand codebase
- Demonstrates a complete NAS pipeline with genetic algorithms
- Good starting point for educational experimentation
Cons
- Very early proof-of-concept, lacks robust error handling
- Limited scalability for complex datasets or deep architectures
- No active maintenance or support from the community
Key facts
What we have checked
- GitHub stars
- 952
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 DEvol (DeepEvolution) is growing
951 to 952
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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