aws-deployment

There are 0 repository under aws-deployment topic.

• bentoml / bentoctl

  Fast model deployment on any cloud 🚀

  model-deploymentaws-deploymentazure-deploymentgcp-deploymentmlopsgcpazureawsserverlessheroku-deploymentmlops-workflowaws-lambda
  Language:Python 175

• PaulleDemon / AWS-deployment

  Instructions to deploy django, django channels to AWS

  awsaws-deploymentchannelsdeploymentdjangodjango-channelshttphttpspythonrdsrediss3
  117

• krishnakaushik25 / Django-eCommerce-website

  Django eCommerce website with a lot of advanced custom functionalities, RDS Postgres and deployed it on Amazon AWS

  djangopythonamazon-web-servicesrds-postgresaws-s3aws-elastic-beanstalkecommerce-websiteaws-deployment
  Language:HTML 8

• alledevops / blog-page-app-django-on-aws

  Deploy a scalable and secure Django blog on AWS! This project harnesses the power of AWS services like EC2, RDS, S3, DynamoDB, CloudFront, and Route 53 to create a robust web application. Users can seamlessly upload pictures and videos on their blog pages, with media content stored in an S3 bucket and metadata recorded on a DynamoDB table.

  aws-deploymentaws-projectdjango-applicationhands-on-labserverless
  Language:Python 3
• ML-Model-Deployment-in-AWS

  abhi227070 / ML-Model-Deployment-in-AWS

  This project deploys a diabetes prediction model on AWS using MLOps principles. It features a Flask-based UI for user interaction and utilizes CI/CD pipelines for automated deployment. By leveraging AWS infrastructure, the project ensures scalability, version control, and monitoring of the deployed model.

  aws-deploymentaws-ec2flask-applicationmachine-learningmachine-learning-algorithmsmlopsmlops-projectmlops-workflowpython3
  Language:HTML 2

• AjNavneet / TimeSeries-ARCH-GARCH-AWS-Deployment

  ARCH and GARCH models along with MLOps pipeline using AWS platform to deploy model in a production environment.

  archaws-deploymentcall-center-analyticsgarch-modelmlopstime-series
  Language:Jupyter Notebook 2

• saibattula93 / Image-Classification

  Developed an image classification web app using CNN to differentiate cats and dogs. Achieved high accuracy, precision, recall, and F1 score. Pipeline involves data preprocessing, model training, Docker deployment on AWS ECS, user-friendly interface, and reliable CI/CD. Showcases deep learning's potential in image analysis.

  aws-deploymentconvolutional-neural-networksdata-preprocessingdeep-learningdocker-containersimage-classificationmlops-pipelinemodel-evaluationweb-application-development
  Language:Jupyter Notebook 2

• AjNavneet / News-Search-Sentence-BERT-ANNOY

  Search relevancy algorithm for news articles using Sentence-BERT model and ANNOY library along with deployment on AWS using Docker.

  aws-deploymentdockernews-articlessbert-implementationsearch-algorithmsearch-relevance
  Language:Jupyter Notebook 1

• JoonasPit / automated-cloudformation-infra

  Troposphere and shellscript based AWS infrastructure automation creates an awsapigateway lambda with a go backend

  awsaws-cloudformationtroposphereautomationaws-deploymentgolanggoaws-lambdaaws-lambda-golangaws-lambda-proxyaws-proxy
  Language:Python 1

• HardevKhandhar / goconcert-recommendation

  Unleash the Power of Music with Personalized Concert Recommendations.

  aws-deploymentdata-driven-insightsdata-scienceensemble-learningmachine-learningmusic-discoverypersonalized-recommendationspotifyticketmaster-apiconcert-recommendation
  Language:Python 0

• luiserrador / employee-login-AWS

  Employee login system using facial recognition

  awsaws-api-gatewayaws-apigatewayaws-deploymentaws-dynamodbaws-ecraws-lambdaaws-rekognitionaws-s3cicd
  Language:JavaScript 0

• mmiller2321 / Demo-CloudApp-Spring-Boot

  This is my test cloud application that displays a login page and once logged in displays a list of orders. (Cloud Platforms: Heroku, Azure, AWS & Google Cloud)

  aws-deploymentazure-deploymentcloud-computinggoogle-cloud-deploymentheroku-deploymentjavamysql-databasespring-bootthymeleaf
  0

• tkr22777 / aws-starter-app

  An AWS saas starter app using typescript, python and terraform

  aws-deploymentpython-backendterraformed-repo
  Language:TypeScript 0

• AjNavneet / Gaussian-TimeSeries-MLOps-AWS-Deployment

  Gaussian Time Series model and MLOps pipeline using the AWS to deploy the model in a production environment.

  aws-deploymentcall-center-analyticsgaussian-processesmlops-environmenttime-series
  Language:Jupyter Notebook

• fabio-miguel / chat-nodejs-app-networking

  A Transmission Control Protocol (TCP) chat app created using Node.js, using the readline module to interact with the Command Line Interface (CLI) for chats. Deployed on AWS.

  application-layerawsaws-deploymentenvironment-variablesnetworkingnodejssshtcp
  Language:JavaScript

• JoyUmoekpo / Assessment-qa-devops

  QA DevOps Assessment

  awsaws-deploymentdeploymentautomation-testsjestunit-testsselenium
  Language:JavaScript

• julioaranajr / movies-managment-project

  Movies Managment Project

  aws-deploymentaws-ec2aws-iamaws-s3awsclidockerdockerfileflaskhclhtmlmysqlpythonshellsmartyterraform
  Language:HCL

• lucetre / xyz

  Home lucetre

  netlify-deploymentnextjsnotion-apitailwindcssaws-deploymentvercel-deployment
  Language:JavaScript

• MartinKalema / MIIA-Pothole-Image-classification

  Refactory Final

  dvc-pipelinemlflow-trackingbinary-classificationcustom-cnn-modelaws-deployment
  Language:Jupyter Notebook

• rrizwan98 / End_to_End_ML_Project_with_mlflow_and_Deployment

  𝗠𝗟 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, encompassing key topics like 𝗗𝗮𝗴𝘀𝗵𝘂b and 𝗠𝗟𝗳𝗹𝗼𝘄 for version control, 𝗠𝗟𝗢𝗽𝘀 practices for efficient deployment, and robust 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 setup. Showcased 𝗔𝗪𝗦 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 with the help of 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻 prowess for seamless machine learning application integration.

  aws-deploymentdagshubec2-instancegithubaction-workflowmlflowmlops
  Language:Jupyter Notebook