
ZenML
extensible, open-source MLOps framework
π‘ ππ²π»π π π¬.π―.π― πΆπ πΌππ and we have #AWSome news π
π Implementation of OrchestratorAWSBackend to launch an EC2 instance as an orchestrator
πWhile you are using the new orchestrator backend, you may use #S3 and RDS
πΏ Implemented an example that covers the basic process if you would like to start testing it right away
π§ ...and for sure some bug fixes π¨
So -> π₯ππ₯ ππ£π¨π©ππ‘π‘ --πͺπ₯ππ§πππ π―ππ£π’π‘[ππ¬π¨]
(Link to release in the comments)
#opensource #MLOps , Amazon Web Services (AWS) #AWS
ππΌββοΈ "You π©π§πππ£ it, you π§πͺπ£ it!" ππΌ
Machine Learning is not done with the fun training part. The heavy lifting is π―πΏπΆπ»π΄πΆπ»π΄ π π πΆπ»ππΌ π½πΏπΌπ±ππ°ππΆπΌπ». Read how ZenML is adapting #DevOps principles https://hackernoon.com/you-train-it-you-run-it-tx1m35s6
...and β€οΈ support us with a GitHub π: https://github.com/maiot-io/zenml
#opensource #MLOps
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π° Use "spot instances" for your ML training and save up to 82% π
ZenML is easily taking over the #orchestration with a few lines of code. Enjoy the read and save your first training cost over the weekend! βοΈ
#preemptible #spot #instance #opensource #MLOps #ML https://towardsdatascience.com/spot-the-difference-in-ml-costs-358202e60266
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π’ BIG release! ZenML 0.2.0 has full #pytorch support! π Get your ML pipelines in production as easy as possible! π We're super proud of the whole team!
$pip install zenml
-> Github: https://github.com/maiot-io/zenml
#extensible #opensource #MLOps #framework
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We're not older than a month and are reaching 400 GitHub stars. We know that this is only a figure but this is the main KPI for possible investors. We're still bootstrapped and are looking for VCs with enough traction in the near future.
So, give us a star and become part of our journey -> https://github.com/maiot-io/zenml
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Wow, that was the best Christmas present! Within the first 24h hours after our launch we reached more than 100 GitHub Stars and made it to GitHub tending for python applications. We want to keep this pace and would love to get shared in newsletters and other blogs! Reach out to us :-)
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After our launch on GitHub we wanted to spread the word. Luckily it took off and we got a HN frontpage article on the first day. Since then we share articles from our blog and get good traffic on GitHub and many pip installs. -> Check out our www.blog.maiot.io
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ZenML is alive! We want to commoditize Machine Learning in Production and launched ZenML. Initially, we specialized on a use-case for time-series data and brought ML in production for predictive maintenance. Our internal tool was so powerful that we decided to externalize and open-source. -> https://github.com/maiot-io/zenml
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About
ZenML is built to take your ML experiments all the way from data versioning to a deployed model. It replaces fragile glue-code and scripts to automate Jupyter Notebooks for production-ready Machine Learning.



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https://github.com/maiot-io/zenml/releases/tag/0.3.3