AI-14 /
chronicles
It is a full-stack blog web application built with React on the frontend and Django/DRF on the backend integrated with AWS-S3 & AWS-RDS services.
43/100 healthLoading repository data…
ajaidanial / repository
The backend application for the Exam Analyser app built using Django, Django Rest Framework & Docker. The application is designed in a detached approach and communicates to the frontend using REST API's.
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The backend application for the Exam Analyser app built using Django, Django Rest Framework & Docker. The application is designed in a detached approach and communicates to the frontend using REST API's.
cp -r .envs.example/ .envs/ and set the necessary values.virtualenv -p python3 venv.requirements.txt file.docker-compose -f local.yml up.sudo ./scripts/init-docker-staging-nginx-ssl.sh.docker-compose to run all the services docker-compose -f staging-nginx-ssl.yml up.www.example.com.docs/ folder../scripts/ folder contains some useful script files.docker-compose -f <compose_file> run <container_name> <command>.Selected from shared topics, language and repository description—not editorial ratings.
AI-14 /
It is a full-stack blog web application built with React on the frontend and Django/DRF on the backend integrated with AWS-S3 & AWS-RDS services.
43/100 healthchristopher-luu97 /
Creating a natural language search application across transcipts using Weaviate on the backend. Key tools and technology include Python, Typescript, TailwindCss, Docker, Weaviate, Django, FastAPI
41/100 healthDeveloperBoys /
Public backend repository for the web and mobile applications of kelishamiz.uz, available for open-source collaboration.
Shakib-IO /
With the Django REST system, we can construct a simple machine learning application that forecasts the species of a sample flower based on measurements of its characteristics i.e. the dimensions of the sepal and petal, length, and width. Here we'd use the same Django application and make some adjustments as appropriate. We will use Postgres as our database for this development since Postgres is best suited for building production. Django comes bundled with a fantastic dashboard from the admin. We can register users for our application with the admin dashboard, which can then communicate with our machine learning application to make predictions. This will then serve the function of our backend and admin duties for our Django application.
41/100 healthLebedevSergeyVach /
The project is written on the Django framework. The backend is written in python. Frontend is written using bootstrap. This site hosts programs and applications for Windows and Android. Any user of the site can use the necessary programs or applications. This site is written on pure enthusiasm.
53/100 healthishan941 /
The backend for NepStay is built using Python, Django, and Docker. This repository provides the server-side logic for the NepStay application, handling all data processing, API endpoints, and user authentication, while ensuring consistency across environments with Docker containerization.
36/100 health