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Show HN: Learn ML and AI infrastructure in the browser

13 pointsby vtuulosabout 2 years ago
We are the developers of an open-source package Metaflow that we started at Netflix. Metaflow provides a human-friendly interface to the full stack of ML infrastructure, including data access, compute, workflow orchestration, and versioning. It is used by hundreds of companies across industries.<p>Over the past years, we have seen that there are two major stumbling blocks for folks who want to learn to build real-world ML applications:<p>1) Setting up the full infrastructure stack in the cloud costs time and money. The investment is worth it once you know what you want to do, but that&#x27;s not always the case in the beginning when you just want to explore.<p>2) While many excellent ML&#x2F;AI tutorials exist publicly, there aren&#x27;t that many hands-on, interactive environments showing how to map models to real-world workflows, running on real infrastructure.<p>This Show HN release is about our attempt to address (1) and (2): We host free, fully-featured sandbox environments that include a private Kubernetes cluster, metadata service and UI, and a workflow orchestrator backed by Argo Workflows (1). If you like what you see, you can set up a similar environment in your cloud account using our open-source Terraform templates.<p>In addition, leaning on industry experts, we have created a number of tutorials covering NLP, computer vision, OpenAI Whisper, and recommendation systems (2).<p>Hopefully you&#x27;ll find these resources useful. Let us know what you think!

3 comments

jtagliabuetoosoabout 2 years ago
As much as self-citation is bad ;-), I want to share the live coding session we had last month: how to build a recommender system pipeline entirely in the browser (<a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=PkKs6oWREr4">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=PkKs6oWREr4</a>) through the Outerbounds Sandbox (all code is freely available).
emattiaabout 2 years ago
Feel free to ask any questions about Metaflow, the Metaflow sandbox stack, etc. here!<p>Also, we&#x27;d love to know how you like to learn AI and ML topics. What tools do you use to test ideas on production-ready ML infrastructure?
stuntkiteabout 2 years ago
Neat. I’ve built some courseware and a sort of similar platform that I’m going to soft launch next month. I built it out of about a decade of necessity in working with coworkers and customers on these types of problems and not really having anything like this. The thing is, I don’t really want to run the platform long term.<p>Are you hiring?