automlbenchmark

OpenML AutoML Benchmarking Framework (by openml)

Automlbenchmark Alternatives

Similar projects and alternatives to automlbenchmark

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better automlbenchmark alternative or higher similarity.

automlbenchmark reviews and mentions

Posts with mentions or reviews of automlbenchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-24.
  • Show HN: Web App with GUI for AutoML on Tabular Data
    4 projects | news.ycombinator.com | 24 Aug 2023
    Here is benchmark done by independent team of researchers https://openml.github.io/automlbenchmark/

    I think most of overfitting is avoided with early stoppoing technique.

    The underfitting can be avoidwd with using large training time.

  • Show HN: AutoAI
    5 projects | news.ycombinator.com | 12 Nov 2021
    Your list excludes most of well-known open-source AutoML tools such as auto-sklearn, AutoGluon, LightAutoML, MLJarSupervised, etc. These tools have been very extensively benchmarked by the OpenML AutoML Benchmark (https://github.com/openml/automlbenchmark) and have papers published, so they are pretty well-known to the AutoML community.

    Regarding H2O.ai: Frankly, you don't seem to understand H2O.ai's AutoML offerings.

    I'm the creator of H2O AutoML, which is open source, and there's no "enterprise version" of H2O AutoML. The interface is simple -- all you need to specify is the training data and target. We have included DNNs in our set of models since the first release of the tool in 2017. Read more here: https://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html We also offer full explainability for our models: https://docs.h2o.ai/h2o/latest-stable/h2o-docs/explain.html

    H2O.ai develops another AutoML tool called Driverless AI, which is proprietary. You might be conflating the two. Neither of these tools need to be used on the H2O AI Cloud. Both tools pre-date our cloud by many years and can be used on a user's own laptop/server very easily.

    Your Features & Roadmap list in the README indicates that your tool does not yet offer DNNs, so either you should update your post here or update your README if it's incorrect: https://github.com/blobcity/autoai/blob/main/README.md#featu...

    Lastly, I thought I would mention that there's already an AutoML tool called "AutoAI" by IBM. Generally, it's not a good idea to have name collisions in a small space like the AutoML community. https://www.ibm.com/support/producthub/icpdata/docs/content/...

  • Show HN: Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)
    3 projects | news.ycombinator.com | 5 Jan 2021
    I'm also curious how does it compare! The package will be included in the newest comparison done by OpenML people https://github.com/openml/automlbenchmark

    I have some old comparison of closed-source old system

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    www.influxdata.com | 17 May 2024
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Stats

Basic automlbenchmark repo stats
3
380
6.7
12 days ago

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