ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>
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Updated
Aug 17, 2025 - Python
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>
MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.
A repository containing workshop material used during DataHack Summit 2023, organized by Analytics Vidhya, for the workshop titled Mastering MLOps – The Art of Productionalizing ML Models.
Help frontline clinicians triage patients in ICUs by rapidly assessing a patient's overall health for informed clinical decisions that will improve patient outcomes and relieve COVID19 ICU overload. Link:https://devpost.com/software/child-safety
Wave prediction using Copernicus API
This assignment introduces us to CI/CD for Machine Learning using MLRun, a powerful orchestration and automation framework for deploying ML pipelines.
An advanced, production-grade Two-Layered Machine Learning & Quantitative Portfolio Strategy designed for cryptocurrency futures markets. The strategy combines cross-sectional alpha return prediction with a global macro regime risk control overlay to generate market-neutral alpha while protecting capital during market stress.
Add a description, image, and links to the mlrun topic page so that developers can more easily learn about it.
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