Add kedro-mlflow to the list of community plugins (#113)

[Galileo-Galilei]

Description

This PR aims at keeping a long-standing promise to @lorenabalan and @yetudada by adding kedro-mlflow to the list of community developped plugins.

Development notes

Add a (not so?) brief description of what the plugin does in documentation.

Checklist

• Read the contributing guidelines
• N/A Opened this PR as a 'Draft Pull Request' if it is work-in-progress
• N/A Updated the documentation to reflect the code changes
• N/A Added a description of this change and added my name to the list of supporting contributions in the RELEASE.md file
• N/A Added tests to cover my changes

Notice

• I acknowledge and agree that, by checking this box and clicking "Submit Pull Request":

• I submit this contribution under the Apache 2.0 license and represent that I am entitled to do so on behalf of myself, my employer, or relevant third parties, as applicable.

• I certify that (a) this contribution is my original creation and / or (b) to the extent it is not my original creation, I am authorised to submit this contribution on behalf of the original creator(s) or their licensees.

• I certify that the use of this contribution as authorised by the Apache 2.0 license does not violate the intellectual property rights of anyone else.

[limdauto]

LGTM!

[yetudada]

You don't know how happy this makes me 🎉 Thank you so much @Galileo-Galilei!

[lorenabalan]

Fantastic!! 👏

[lorenabalan]

Did you maybe mean this one? The previous link didn't exist.

Suggested change

- [kedro-mlflow](https://github.com/Galileo-Galilei/kedro-mlflow), by [Yolan Honoré-Rougé](https://github.com/galileo-galilei), [Kajetan Maurycy Olszewski](https://github.com/kaemo), and [Takieddine Kadiri](https://github.com/takikadiri) facilitates [Mlflow](https://www.mlflow.org/) integration inside Kedro projects while enforcing [Kedro's principles](https://kedro.readthedocs.io/en/stable/12_faq/01_faq.html?highlight=principles#what-is-the-philosophy-behind-kedro). Its main features are modular configuration, automatic parameters tracking, datasets versioning, Kedro pipelines packaging and serving and automatic synchronization between training and inference pipelines for high reproducibility of machine learning experiments and ease of deployment. A tutorial is provided in the [kedro-mlflow-tutorial repo](https://github.com/Galileo-Galilei/kedro-mlflow-tutorial).

- [kedro-mlflow](https://github.com/Galileo-Galilei/kedro-mlflow), by [Yolan Honoré-Rougé](https://github.com/galileo-galilei), [Kajetan Maurycy Olszewski](https://github.com/kaemo), and [Takieddine Kadiri](https://github.com/takikadiri) facilitates [Mlflow](https://www.mlflow.org/) integration inside Kedro projects while enforcing [Kedro's principles](https://kedro.readthedocs.io/en/stable/12_faq/01_faq.html?highlight=principles#what-are-the-primary-advantages-of-kedro). Its main features are modular configuration, automatic parameters tracking, datasets versioning, Kedro pipelines packaging and serving and automatic synchronization between training and inference pipelines for high reproducibility of machine learning experiments and ease of deployment. A tutorial is provided in the [kedro-mlflow-tutorial repo](https://github.com/Galileo-Galilei/kedro-mlflow-tutorial).

Should make linkchecker pass.

[Galileo-Galilei]

Well spotted! I have never used the CI before to check for broken links but the idea is so cool that I added it to kedro-mlflow (and discover dozens of broken links in the docs...). Definitely worth opening this PR, I've learnt something today :)

I've just rebased/squashed and pushed again, it should be ok now.