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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Home Page: https://sagemaker-examples.readthedocs.io

License: Apache License 2.0

Jupyter Notebook 82.48% HTML 0.28% Python 14.82% R 0.07% Shell 0.45% Dockerfile 0.24% Java 0.02% C 0.01% Roff 1.62% Makefile 0.01% JavaScript 0.01% Batchfile 0.01% jq 0.01%

aws-sm-examples's Introduction

Hi there 👋

I'm a Machine Learning Engineer / MLOps Engineer. I combine Machine Learning and DevOps advocacy in my work. I enjoy writing articles focussed on MLOps.

  • 🔭 I’m currently working on MLOps, K8s 🤓

  • 🌱 I’m currently learning GenAI

  • 👯 I’m looking to collaborate on DL, ML, NLP, CV, MLOps and LLMOps

  • 📝 I regularly write articles on Medium

  • 💬 Ask me about Data

Skills

Python 🐍 | AIML 🤖 | MLOps 🚀 | K8s 🚢 | AWS SageMaker 📊 | Kubeflow | MLflow | NLP 📃 | Computer Vision 👀 | KServe 🚀 | Seldon Core | Ray🕺| Docker 🐳 | CICD 🔁

GitHub Stats

vinayak-shanawad

vinayak-shanawad

 vinayak-shanawad

aws-sm-examples's People

Contributors

aaronmarkham avatar aarsanjani avatar ajaykarpur avatar andremoeller avatar atqy avatar djarpin avatar eitansela avatar fandotli avatar goelakash avatar gurumurthys avatar hsl89 avatar jesterhazy avatar jkroll-aws avatar jmikko avatar kwwaikar avatar laurenyu avatar mchoi8739 avatar melty-chocolate avatar mvsusp avatar nadiaya avatar paul-cb avatar saurabh3949 avatar sunil19m avatar techopra1000 avatar tomfaulhaber avatar vivekmadan2 avatar vrkhare avatar winstonaws avatar xzhou33 avatar yuanzhua avatar

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