aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
Why this job: says: machine learning framework; topics: machine-learning
What it does
It provides automatic generative design of machine learning pipelines for various real-world problems. The core of FEDOT is based on an evolutionary approach and supports classification (binary and multiclass), regression, clustering, and time series prediction problems.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 714
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.7.5
- Released 20 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 5
- Last 90 days
- Issues
- 88% closed
- 71 still open
- Pull requests
- 758 merged
- 15 waiting
- Releases
- 19
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| autogluon / autogluon | 10,830 | yesterday | Apache-2.0 | No downloads |
| keras-team / autokeras | 9,341 | 11 months ago | Apache-2.0 | No downloads |
| hyperactive-project / Hyperactive | 552 | 4 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 100%
- Dockerfile <1%
- Shell <1%
Topics
- automl
- machine-learning
- evolutionary-algorithms
- genetic-programming
- structural-learning
- automated-machine-learning
- hyperparameter-optimization
- parameter-tuning
- automation
- multimodality
- fedot
Project record
- JobAI libraries and models
- StatusListed
- Commits963
- Forks100
- Watching9
- Stars in 28 days+2
- CreatedJan 13, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026