Automate your cycle of Intelligence #33

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opened 2025-11-02 00:01:59 -05:00 by GiteaMirror · 0 comments
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Originally created by @innovatewithfaizan on GitHub (Mar 25, 2022).

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 and developers. It is a collection of cloud-native tools for all of these stages of MLOps:

-Data exploration
-Feature preparation
-Model training/tuning
-Model serving, testing and versioning

Katonic is for both data scientists and data engineers looking to build production-grade machine learning implementations and can be run either locally in your development environment or on a production cluster. Katonic provides a unified system—leveraging Kubernetes for containerization and scalability for the portability and repeatability of its pipelines.

It will be great if you can list it on your account

Website -
Katonic One Pager.pdf

https://katonic.ai/

Originally created by @innovatewithfaizan on GitHub (Mar 25, 2022). 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 and developers. It is a collection of cloud-native tools for all of these stages of MLOps: -Data exploration -Feature preparation -Model training/tuning -Model serving, testing and versioning Katonic is for both data scientists and data engineers looking to build production-grade machine learning implementations and can be run either locally in your development environment or on a production cluster. Katonic provides a unified system—leveraging Kubernetes for containerization and scalability for the portability and repeatability of its pipelines. It will be great if you can list it on your account Website - [Katonic One Pager.pdf](https://github.com/pachyderm/pachyderm/files/8351851/Katonic.One.Pager.pdf) https://katonic.ai/
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Reference: github-starred/Made-With-ML#33