Topic: amazon-sagemaker Goto Github
Some thing interesting about amazon-sagemaker
Some thing interesting about amazon-sagemaker
amazon-sagemaker,@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
User: ashleshk
amazon-sagemaker,Automating code execution tasks on Amazon SageMaker via APIs
User: athewsey
amazon-sagemaker,How to perform distributed training on Amazon SageMaker using SageMaker's Distributed Data Parallel library and debug using Amazon SageMaker Debugger.
Organization: aws-samples
amazon-sagemaker,How to deploy a BERT model from Hugging Face Model Hub to Amazon SageMaker for a Fill-Mask use case.
Organization: aws-samples
amazon-sagemaker,Amazon SageMaker Local Mode Examples
Organization: aws-samples
amazon-sagemaker,Amazon SageMaker Managed Spot Training Examples
Organization: aws-samples
amazon-sagemaker,MLOps workshop with Amazon SageMaker
Organization: aws-samples
amazon-sagemaker,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 corpus of protein sequences.
Organization: aws-samples
amazon-sagemaker,Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
Organization: aws-samples
amazon-sagemaker,How to perform training on Amazon SageMaker using SageMaker's script mode and debug using Amazon SageMaker Debugger.
Organization: aws-samples
amazon-sagemaker,This is a solution that allows you to offload a resource intensive Monte-Carlo simulation to more powerful machines on Amazon SageMaker, while still being able to develop your scripts in your RStudio IDE.
Organization: aws-samples
amazon-sagemaker,Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.
Organization: aws-samples
amazon-sagemaker,Use Snowflake as a source of training data for training a machine learning model in Amazon SageMaker.
Organization: aws-samples
amazon-sagemaker,How to train a XGBoost regression model on Amazon SageMaker, host inference on a Docker container running on Amazon ECS on AWS Fargate and optionally expose as an API with Amazon API Gateway.
Organization: aws-samples
amazon-sagemaker,How to train a XGBoost regression model on Amazon SageMaker and host inference as an API on a Docker container running on AWS App Runner.
Organization: aws-samples
amazon-sagemaker,How to train a XGBoost regression model on Amazon SageMaker, host inference on a serverless function in AWS Lambda and optionally expose as an API with Amazon API Gateway
Organization: aws-samples
amazon-sagemaker,How to train, deploy and monitor a XGBoost regression model in Amazon SageMaker and alert using AWS Lambda and Amazon SNS. SageMaker's Model Monitor will be used to monitor data quality drift using the Data Quality Monitor and regression metrics like MAE, MSE, RMSE and R2 using the Model Quality Monitor.
Organization: aws-samples
amazon-sagemaker,Open innovation with 60 minute cloud experiments on AWS
Organization: aws-samples
amazon-sagemaker,Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK
Organization: aws-samples
amazon-sagemaker,'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
Organization: aws-samples
amazon-sagemaker,This repo contains demo code for reInvent2021 session AIM408 Achieve high performance and cost-effective model deployment
Organization: aws-samples
amazon-sagemaker,AWS re:Invent 2023 - AIM329 - Build a chat assistant with Amazon Bedrock - how to use the Retrieval Augmented Generation (RAG) architecture with Amazon Bedrock and Amazon OpenSearch Serverless (AOSS) to quickly build a secure chat assistant that uses the most up-to-date information to converse with users.
Organization: aws-samples
amazon-sagemaker,Hands-on demonstrations for data scientists exploring Amazon SageMaker
Organization: aws-samples
amazon-sagemaker,Hands-on end-to-end workshop to explore Amazon SageMaker.
Organization: aws-samples
amazon-sagemaker,A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Organization: aws-samples
amazon-sagemaker,This repository contains the files and instructions on using Amazon SageMaker to build linear regression, polynomial regression etc to predict the temperature
Organization: aws-samples
amazon-sagemaker,Running your TensorFlow models in Amazon SageMaker
Organization: aws-samples
amazon-sagemaker,Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
Organization: aws-solutions-library-samples
amazon-sagemaker,A Spark library for Amazon SageMaker.
Organization: aws
Home Page: https://aws.github.io/sagemaker-spark/
amazon-sagemaker,This solution combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting customer churn using ML, and maintaining a tailored audience segment for messaging.
Organization: awslabs
amazon-sagemaker,Deploying TRURL 2 on Amazon SageMaker. TRURL 2 is a Large Language Model (LLM), which is a fine-tuned version of LLaMA 2 with support for Polish language developed by VoiceLab and published at the company profile on Hugging Face (https://huggingface.co/Voicelab).
Organization: build-on-aws
Home Page: https://community.aws/concepts/deploying-trurl-2-on-amazon-sagemaker
amazon-sagemaker,Build a Full stack Q&A Chatbot with Langchain, and LLM Models on Amazon Sagemaker
Organization: build-on-aws
Home Page: https://community.aws/tutorials/fullstack-llm-langchain-chatbot-on-aws
amazon-sagemaker,(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 easy central repository, in a collaborative way.
User: dgomesbr
Home Page: http://awesome-aws-workshops.com
amazon-sagemaker,⛳️ PASS: Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
Organization: ditectrev
Home Page: https://education.ditectrev.com
amazon-sagemaker,A library for training and deploying machine learning models on Amazon SageMaker using R through paws sdk
User: dyfanjones
amazon-sagemaker,Amazon SageMaker Examples
User: eitansela
amazon-sagemaker,Fine-tuning Stable Diffusion XL on AWS for Generative AI-powered Product Concept Design
User: garystafford
amazon-sagemaker,End to end Machine Learning with Amazon SageMaker
User: giuseppeporcelli
amazon-sagemaker,This code is used for making MindsDB run on Amazon SageMaker.
Organization: mindsdb
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
User: ohke
amazon-sagemaker,Sentiment Analysis WebApp using LSTM, made with :heart: in PyTorch and deployed on AWS:rocket: Do :star2: the repo and show some love.
User: phreakyphoenix
amazon-sagemaker,A project cum tutorial which will help you understand and setup your custom keras project in Amazon SageMaker.
User: pranaychandekar
amazon-sagemaker,This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
User: purvasingh96
amazon-sagemaker,Docker images that replicate the Amazon SageMaker Notebook instance.
User: qtangs
amazon-sagemaker,The aim of this project is to predict the long-term price trend of two indices and one stock with at least 90% accuracy.
User: radroid
amazon-sagemaker,In this Amazon SageMaker tutorial, you'll find labs for setting up a notebook instance, feature engineering with XGBoost, regression modeling, hyperparameter tuning, bring your custom model etc.
User: sahays
Home Page: https://sahays.github.io/sagemaker-labs/
amazon-sagemaker,Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker
Organization: snowflake-labs
amazon-sagemaker,Object Detection using Amazon Sagemaker from AWS
User: tekraj15
amazon-sagemaker,Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.
User: windson
amazon-sagemaker,Projects using S3, Amazon SageMaker, AWS Lambda Function, Amazon Forecast; Projects related to SQL, Hadoop, Flink (Java), and Google Map API (Jun 2019 - Jul 2019)
User: yiranjing
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