A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.

ML DevOps using GitHub Actions and Azure Machine Learning

Generates podcast feeds using YAML, hosted by GitHub pages.

A python script to create a fake GitHub runner and hijack pipeline jobs to leak CI/CD secrets.

Several robots based on GitHub Actions.

Flask-Mpesa provides a simple intergration for flask Applications with Mpesa Daraja API.

A CI Workflow that counts the views of all my repositories automatically

DevOps For BigData With CI/CD

Developed and deployed a scalable machine learning model for real-time customer segmentation using FastAPI, Docker, Kubernetes, and GitHub Actions, with an end-to-end CI/CD pipeline on Azure Kubernetes Service, enhancing targeted marketing strategies through robust and seamless integration and deployment

TweegramBot is a repository made using python which integrates with twitter and telegram APIs, and helps you convert telegram messages to tweet using github action on hourly basis.

Algorithmia Github Action capable of running Jupyter notebooks to create the ML model, uploading the model and updating the algorithm at Algorithmia

GitHub Action Slack Notification: Sends Slack notifications when failed build jobs become green again

DO NOT FORK, CLICK ON "Use this template". Preconfigure repository with vscode settings, and actions file for python project along with isort and black to make things easier for you in terms of import sorting and clean code.

ER-Watch-Scraper is a Python-based scraper that collects real-time emergency room wait times for hospitals in Ontario. By consolidating data from various sources (APIs, HTML pages, and Power BI dashboards), this tool provides a centralized, up-to-date view of ER wait times.

一个为用户打造的个性化视频下载工具

本项目旨在充分利用 GitHub Actions 的自动化能力，构建一系列实用工具，使日常生活和工作更加便捷高效。通过定时触发、自动执行和结果推送，减少重复性工作，提高生产力。

This script is automated. It rans and add first 10k movies to db. if you need it to run more u need to delete optional code in the script.

Going to Production with Github Actions, Metaflow and AWS SageMaker