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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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I've been using [ploomber](https://github.com/ploomber/ploomber/) for model training, orchestration. It's helped keep my work reproducible. Would you accept a PR for this?

Katonic MLOps Platform is a collaborative platform with a Unified UI to manage all data science activities in one place and introduce MLOps practice into the production systems of customers...

Katonic MLOps Platform is a collaborative platform with a Unified UI to manage all data science activities in one place and introduce MLOps practice into the production systems of customers...

A very good tool for EDA https://github.com/pandas-profiling/pandas-profiling I can issue a pull request if decided.

Vector databases are a relatively new phenomenon, but they might deserve their own section. For the convenience of the maintainer of this repo, I've added two PRs, one [without the...

https://github.com/beniz/deepdetect is forked from https://github.com/jolibrain/deepdetect It make wrong starts count

[Superwise.ai](http://www.superwise.ai) - Machine learning monitoring solution for models in production

The following tools are more appropriate for NLP [INCEpTION](https://inception-project.github.io/) [Webanno](https://webanno.github.io/) [TeamTat](https://github.com/ncbi-nlp/TeamTat)

Monthly automated release with pdf conversion from main readme similar to first release.