Topic: dockers Goto Github
Some thing interesting about dockers
Some thing interesting about dockers
dockers,A note making web application made using MERN Stack.
User: aayush7908
Home Page: https://inotebook-aayush.vercel.app/
dockers,Hybrid Selenium Framework with Selenium 4, BDD (Cucumber), Java, and TestNG.
User: ahileshmanickavasagan
dockers,Aplicación web donde se realizan votaciones de películas, y se visualizan los resultados de dicha votación. En este proyecto se utilizó Node.js, Express.js y MySQL. El back-end de la aplicación recibe todas las solicitudes del front-end y ejecuta, no solo consultas a la base de datos, sino también modificaciones.
User: alexisaltamira
Home Page: https://github.com/AlexisAltamira/Peli-Vs.-Peli
dockers,Little HTML/JavaScript project where I used dockers to run the web service. After pushing to the master branch, Travis-CI will test and deploy the docker into AWS Elastic Beanstalk
User: alvarogonzavega
dockers,MLOps using Dockers, Github Actions and Heroku
User: amishasomaiya
dockers,ML Projects and Experience in Industry and Academia.
User: amishasomaiya
dockers,React app using dockers , redux and REST API
User: asifsha
Home Page: https://asifsha.github.io/b-data-app/
dockers,This project is full scale end to end Machine learning project that used to predict the price of the california housing dataset
User: balajiharidasan
dockers,This project is a web-based implementation of the popular 2048 game, developed using HTML, CSS, and JavaScript for the frontend.
User: bishwanathkumarpanda
dockers,Our Website
Organization: carleton-web-dev-club
Home Page: https://carleton-web-dev-club.github.io/club-site/#/
dockers,An intro into Dev Ops, CICD and other relevant topics
User: dking1342
dockers,Dockers para ambientes de Desarrollo / Dockers for development environment
User: elessar303
dockers,One repository to centralize dockers and dockers-compose useful for everyday use.
User: gabubellon
dockers,Dockerfiles for deep learning semantic segmentation projects, make my life easier - -
User: ganlumomo
dockers,Iris FLask WebApp deployment on AWS using Dockers, GitHub Actions, Gunicorn
User: gourav052003
dockers,A distributed key value store implementation using dockers.
User: haricazorla
dockers,A simple expense tracker using Spring boot
User: haricazorla
dockers,AdvantEDGE, Mobile Edge Emulation Platform
Organization: interdigitalinc
dockers,PHP Composer project using mysql dockerized
User: jaroslawzielinski
dockers,Rest micro-services with Spring Boot, handle exceptions and errors, connect to a database. Unit, integration, and repository tests in Spring.
User: juliamersing
Home Page: http://localhost:8080/swagger-ui.html
dockers,My Restful API for React Native app animeGo
User: jvillegasd
dockers,Diamond Price Prediction with MLOps: A comprehensive end-to-end project for predicting diamond prices using machine learning and MLOps techniques.
User: kalyanm45
dockers,The purpose of this project is to predict the price of Airbnb rentals based on various features of the properties listed on the platform. The code in this repository is written in Python and uses several machine learning algorithms to train and test a predictive model.
User: kalyanm45
dockers,This is the basic snippet of Library microservices - books, customers & orders built over ExpressJs and MongoDB. Deployed with Dockers.
User: kapilraghuwanshi
dockers,Storage Benchmark Kit
User: kmgowda
Home Page: https://kmgowda.github.io/SBK
dockers,etc » dockers » sh
Organization: kuwas-io
Home Page: https://github.com/kuwas-io/etc.dockers.sh
dockers,useful Dockefiles and docker-compose files of different projects.
User: mmdaz
dockers,Checking out GitLab Runner Autoscaler experiment feature
User: mysticrenji
Home Page: https://renjithvr11.medium.com
dockers,Crypto trading bot that uses CoinBase Pro API to execute market order trades automatically. With fully functional GUI
User: norky101
dockers,Basic mock web app of Instagram. Developed according to microservices architecture. Deployed on AWS EKS
User: osamafayyaz3
dockers,A repo that contains BASH progress bars to measure APIs, Processes, and Installations (under dev).
User: pkazanjian
dockers,Docker LAMP with apache, mysql, mariadb, php.
User: plencovich
dockers,Generic Linux image with Kubernetes
User: prashanth-sams
dockers,The purpose of this project is to predict the price of Airbnb rentals based on various features of the properties listed on the platform. The code in this repository is written in Python and uses several machine learning algorithms to train and test a predictive model.
User: reddisandeep
dockers,Code Challenge- To build a simple web application that links to a database and can perform basic CRUD operations.
User: reemmda99
dockers,End-to-End ML project to predict student score. Learning ML Project Life-cycle.
User: sathviknayak123
dockers,Dockers & Kubernetes practices: fastest growing project in the history of open Source software, after Linux.
User: sergioalegre
dockers,HomeScope is an end-to-end data science project that predicts California's median house prices using a Random Forest Regressor. It offers detailed data preprocessing, a user-friendly Streamlit interface, and full deployment guidance, serving as a comprehensive tool for real estate market analysis.
User: shubham235chandra
dockers,API to colaborate universal-meche-ui
User: sidofdountio
dockers,An End-to-End sentiment analyzer web app for the financial news headlines from the perspective of a retail investor
User: srivabhi22
Home Page: https://www.kaggle.com/code/srivabhi22/sentiment-analysis-using-fasttext
dockers,Docker(WEC task)
User: srujangit123
dockers,This repository serves as a comprehensive reference for data science enthusiasts, learners, and practitioners. It is a clone of the original "The-Grand-Complete-Data-Science-Materials by Krishnaik" repository, providing access to valuable resources, code samples, and projects curated by Krishnaik, a respected figure in the data science community.
User: sudhanshu432
Home Page: https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials/blob/main/LICENSE
dockers,Used Arwes Futuristic Sci-Fi UI and implemented REST APIs. NASA Exoplanets's data is used to find out the habitable planets and SPACEX-API is used for populating launches data.
User: syed007hassan
Home Page: http://13.210.164.154:5000/
dockers,This project gave an overview of the Stock marker highlights for Exxon Mobil Company.
User: taofeekaoyusuf
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.