(Unofficial) curated list of awesome workshops found around in the internet. As we all have been there, finding that workshop that you have just attended shouldn't be hard. The idea is to provide an e...
翻译 - 非官方策划的互联网上很棒的研讨会列表。就像我们都去过那里一样，发现您刚刚参加的研讨会并不难。这个想法是通过协作的方式提供一个简单的中央存储库。
#计算机科学#A Spark library for Amazon SageMaker.
#计算机科学#A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
#计算机科学#MLOps workshop with Amazon SageMaker
#计算机科学#Open innovation with 60 minute cloud experiments on AWS
Hands-on demonstrations for data scientists exploring Amazon SageMaker
#计算机科学#Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
#计算机科学#⛳️ PASS: Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
#计算机科学#Docker images that replicate the Amazon SageMaker Notebook instance.
#计算机科学#Hands-on end-to-end workshop to explore Amazon SageMaker.
Amazon SageMaker Managed Spot Training Examples
Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from Hugging Face library, based on BERT model trained on large corp...
#计算机科学#End to end Machine Learning with Amazon SageMaker
'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
Running your TensorFlow models in Amazon SageMaker
#计算机科学#Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker
Amazon SageMaker で MLOps (前処理・学習・評価・推論、および、実験・モデル・ワークフローの管理) を実現するミニマムなコードサンプル