Consider adding 'jeff1evesque/machine-learning' #14

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opened 2025-11-06 11:23:00 -06:00 by GiteaMirror · 1 comment
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Originally created by @jeff1evesque on GitHub (Sep 15, 2016).

Just curious if my repository could be added to the README.md of this project, for similar reasons as docker's Project using docker wiki page:

How to incorporate python unit testing via docker containers, using continuous integration (see .travis.yml#L101-L112)

Later, I intend to build a more robust development environment, where I would incorporate docker containers, within the current existing vagrant environment. If my project is reasonable, could someone recommend which section I should commit my repository reference into. I was thinking either adding my repository to Continuous Integration / Continuous Delivery, or adding a new Machine Learning section.

Originally created by @jeff1evesque on GitHub (Sep 15, 2016). Just curious if my [repository](https://github.com/jeff1evesque/machine-learning) could be added to the [`README.md`](https://github.com/veggiemonk/awesome-docker/blob/master/README.md) of this project, for similar reasons as docker's [Project using docker](https://github.com/docker/docker/wiki/Projects-using-docker#projects) wiki page: > [How to incorporate python unit testing via docker containers, using continuous integration](https://github.com/jeff1evesque/machine-learning) (see [.travis.yml#L101-L112](https://github.com/jeff1evesque/machine-learning/blob/78384feb5477464dba4a48b96dbfc01e1d39b0f6/.travis.yml#L101-L112)) Later, I intend to build a more robust development environment, where I would incorporate docker containers, within the current existing vagrant environment. If my project is reasonable, could someone recommend which section I should commit my repository reference into. I was thinking either adding my repository to [Continuous Integration / Continuous Delivery](https://github.com/veggiemonk/awesome-docker/blob/master/README.md#continuous-integration--continuous-delivery), or adding a new _Machine Learning_ section.
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@vegasbrianc commented on GitHub (Sep 15, 2016):

Hi @jeff1evesque First, your project is very impressive. I could see a ton of use cases for your tool and might have to give it a go myself but the awesome-docker list is currently only listing Docker Tools.

If in the future, if you find a use case which your project could use your machine learning capability on containers or the ecosystem we would be happy to accept it. This actually sounds very interesting. I was going to suggest to submit to the awesome machine learning list but you seem to be already listed.

Thanks again and good luck with your project.

Brian

@vegasbrianc commented on GitHub (Sep 15, 2016): Hi @jeff1evesque First, your project is very impressive. I could see a ton of use cases for your tool and might have to give it a go myself but the awesome-docker list is currently only listing Docker Tools. If in the future, if you find a use case which your project could use your machine learning capability on containers or the ecosystem we would be happy to accept it. This actually sounds very interesting. I was going to suggest to submit to the awesome machine learning list but you seem to be already listed. Thanks again and good luck with your project. Brian
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Reference: github-starred/awesome-docker#14