https://github.com/jphall663/automl_resources
A running list of links for AutoML - very unofficial and incomplete
https://github.com/jphall663/automl_resources
Last synced: 5 months ago
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A running list of links for AutoML - very unofficial and incomplete
- Host: GitHub
- URL: https://github.com/jphall663/automl_resources
- Owner: jphall663
- Created: 2018-01-08T02:11:24.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-01-08T02:38:10.000Z (almost 8 years ago)
- Last Synced: 2025-04-07T11:32:23.345Z (8 months ago)
- Size: 1.95 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# automl_resources
A running list of links for AutoML - very unofficial and incomplete.
### References
* [Deep Feature Synthesis: Towards Automating Data Science Endeavors](https://groups.csail.mit.edu/EVO-DesignOpt/groupWebSite/uploads/Site/DSAA_DSM_2015.pdf)
CSAIL, MIT
* [Efficient and Robust Automated Machine Learning](https://pdfs.semanticscholar.org/775a/4e375cc79b53b94e37fa3eedff481823e4a6.pdf)
Department of Computer Science, University of Freiburg, Germany
* [Using Machine Learning to Explore Neural Network Architecture](https://research.googleblog.com/2017/05/using-machine-learning-to-explore.html)
Google
* [AutoML: Automatic Machine Learning](http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html)
H2O.ai
### Software
#### Data Exploration
* [Pandas Profiler](https://github.com/pandas-profiling/pandas-profiling)
#### Feature Engineering
* [Feature Tools](https://index.pocketcluster.io/featuretools-featuretools.html)
#### Modeling
* [Auto-Sklearn](https://automl.github.io/auto-sklearn/stable/)
* [H2O.ai AutoML](https://www.h2o.ai/download/)
#### Pipelines
* [TPOT](https://github.com/rhiever/tpot)
* [ATM](https://github.com/HDI-Project/ATM)