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Search results for amazon web services sagemaker
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sagemaker
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2 search results found
Amazon Sagemaker Examples
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9,221
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Gluonts
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4,288
Probabilistic time series modeling in Python
Sagemaker Python Sdk
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1,994
A library for training and deploying machine learning models on Amazon SageMaker
Deep Learning Containers
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881
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Aws Genai Llm Chatbot
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674
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, AI21, Cohere) using AWS CDK on AWS
Runhouse
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667
Create and share production-quality backend apps and services anywhere. Unobtrusive, debuggable, PyTorch-like APIs for your world of infra.
Studio Lab Examples
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539
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Spotty
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491
Training deep learning models on AWS and GCP instances
Sagemaker Training Toolkit
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430
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Sagify
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422
LLMs and Machine Learning done easily
Sagemaker Inference Toolkit
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336
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Sagemaker Spark
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285
A Spark library for Amazon SageMaker.
Renate
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263
Library for automatic retraining and continual learning
Sagemaker Tensorflow Training Toolkit
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253
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
Realtime Fraud Detection With Gnn On Dgl
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191
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
Sagemaker Pytorch Training Toolkit
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182
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
Generative Ai Cdk Constructs
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175
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Generative Ai Use Cases Jp
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174
Generative AI を活用したビジネスユースケースのデモンストレーション
Hello Aws Data Services
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171
AWS Data/MLServices sample code & notes for my LinkedIn Learning courses
Repo 2018
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166
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
Bootcamp 2021
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165
Become a Certified Unicorn Developer and Participant in the API Token Economy
Sagemaker Ssh Helper
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158
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
Sagemaker Debugger
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155
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Amazon Sagemaker Operator For K8s
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148
Amazon SageMaker operator for Kubernetes
Aws Ai Ml Workshop Kr
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147
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Awesome Sagemaker
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135
A curated list of references for Amazon SageMaker
Sagemaker Run Notebook
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131
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
Aws Ml Jp
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120
SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集
Sagemaker Xgboost Container
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109
This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
Datajob
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99
Build and deploy a serverless data pipeline on AWS with no effort.
Sagemaker Studio Custom Image Samples
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91
This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio
Aws Lambda Docker Serverless Inference
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88
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
Sagemaker Explaining Credit Decisions
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87
Amazon SageMaker Solution for explaining credit decisions.
Sagemaker 101 Workshop
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67
Hands-on demonstrations for data scientists exploring Amazon SageMaker
Sagemaker Mxnet Training Toolkit
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60
Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.
Sagemaker Distribution
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59
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
Towards Agi
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55
A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)
Aws Machine Learning Foundations Scholarship
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53
Udacity AWS ML Foundations Scholarship Course Walkthrough
Sagemaker Pipeline
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44
Sagemaker pipeline for AWS Summit New York
Aws S3 Cat Images
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44
Generating Cat images using StyleGAN
Generative Ai On Aws Immersion Day
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40
Generative AI on AWS Immersion Day
Amazon Sagemaker Edge Defect Detection Computer Vision
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40
Workshop showcasing how to run defect detection using computer vision at the edge with Amazon SageMaker
Aws For Bioinformatics
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38
AWS for Bioinformatics Researchers
Aws Is How
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37
Know How Guide and Hands on Guide for AWS
Sagemaker Controller
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33
ACK service controller for Amazon SageMaker
Map Floodwater Satellite Imagery
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30
This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
Awesome Aws Research
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30
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS
Sagemaker Defect Detection
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28
Detect Defects in Products from their Images using Amazon SageMaker
Neo4j Generative Ai Aws
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24
Demonstration application showing how Neo4j works with Amazon Bedrock
Aws Mlflow Sagemaker Cdk
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24
MLflow on AWS Fargate integrated with Amazon SageMaker.
Syntheticsun
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23
SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.
Sagemaker End To End Workshop
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20
Hands-on end-to-end workshop to explore Amazon SageMaker.
Sagemaker Studio Mlflow Integration
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19
Sagemaker Chainer Container
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16
Docker container for running Chainer scripts to train and host Chainer models on SageMaker
Generative Ai Cdk Constructs Samples
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15
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
Deploymachinelearningmodels
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15
This Repo Contains Deployment of Machine Learning Models on various cloud services like Azure, Heroku, AWS,GCP etc
Sagemaker Studio Image Build Cli
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15
CLI for building Docker images in SageMaker Studio using AWS CodeBuild.
Time Series Forecasting
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14
Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
Sm Kornlp
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13
A collection of Korean NLP hands-on labs on Amazon SageMaker
Mlops Multi Account Terraform
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13
Secure and scalable MLOps platform on AWS using Terraform.
Reinvent2020 Aim404 Productionize R Using Amazon Sagemaker
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11
Customers using R can run simulation and machine learning securely and at scale with Amazon SageMaker while also reducing the cost of development by using the fully elastic resources in the cloud. In this demo, learn how to build, train, and deploy statistical and ML models in R at scale using Amazon SageMaker from your IDE.
Amazon Sagemaker Managed Spot Training
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10
Amazon SageMaker Managed Spot Training Examples
Demo Rosa Sagemaker
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10
How to use ROSA with AWS sagemaker
Sagemaker Jumpstart Generative Ai Examples
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10
Unlocking Creativity: Generative AI with SageMaker Jumpstart
Hands On Lab Neo4j And Bedrock
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9
Hands on lab for Neo4j and Amazon Bedrock
Terraform Aws Sagemaker
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8
Terraform Module: Amazon SageMaker
Sagemaker R Sdk
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8
A library for training and deploying machine learning models on Amazon SageMaker using R through paws sdk
Pace Genai Demos
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8
This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.
Sagemaker Example Notebooks Testing
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7
A continuous integration (CI) system for 📓 Jupyter notebooks, built using 🧠 Amazon SageMaker.
Sagemaker_nlp_examples
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7
NLP examples(almost Japanese) on AWS
Ppe Detector
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7
PPE Detector
Stcv
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6
Development kit for Computer Vision thought to be used on SageMaker
Datarobot Sagemaker Examples
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6
This repository contains some sample notebooks illustrating the use of DataRobot and SageMaker
Sagemaker Rightline
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6
A Python package that eases validation of properties of a SageMaker Pipeline object.
Donkeycar Sagemaker
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6
Build an autonomous car using Amazon SageMaker
Nazar Server
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6
Heroku deployed Flask + Bottle server used by nazar app to classify images after converting base64 text to image & going through the tensorflow InceptionV3 trained frozen graph to send predicted name along with octopart description and details
Sample Mnist Digit Recognition Sagemaker
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6
Demo to run the MNIST handwritten digit model on a locally running SageMaker endpoint
Aws Machine Learning
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5
AWS Maching Learning Foundations Scholarship
Sagemaker Fastai Notebook
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5
Project with AWS CloudFormation templates to provision SageMaker notebooks setup to work with fast.ai
Amazon Sagemaker Data Wrangler Hospital Readmission Prediction
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5
This is an example to demonstrate Amazon SageMaker Data Wrangler capabilities. The workshop showcases entire ML workflow steps for Diabetic Patient Readmission Dataset from UCI.
Amazon Sagemaker Predictive Maintenance Deployed At Edge
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5
This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Amazon SageMaker, Amazon Polly and the AWS IoT suite.
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