Custom versioning of Machine Learning models
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Updated
Oct 1, 2022 - Python
Custom versioning of Machine Learning models
Model Registry is the service that exposes API to save, fetch and delete machine learning models
Basic MLPlatform includes Model Registry and Inference Server
Tabular data experiment tracking with Neptune
Built an E2E MLFlow Pipeline & hosted on AWS.
Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.
๐ท๏ธ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
Hopsworks Machine Learning Api ๐ Model management with a model registry and model serving
๐ถ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day๐ค
๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Add a description, image, and links to the model-registry topic page so that developers can more easily learn about it.
To associate your repository with the model-registry topic, visit your repo's landing page and select "manage topics."