An open-source ML pipeline development platform
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Updated
Jan 9, 2025 - Python
An open-source ML pipeline development platform
Open source AI platform for rapid development of advanced AI and AGI pipelines.
An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
Library for streaming data and incremental learning algorithms.
Components that I have created for Kubeflow Pipelines. Try them in https://cloud-pipelines.net/pipeline-editor/
Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners.
This a repo that was created to learn more about Airflow and develop awesome data engineering projects. 🚀🚀
Guide on how to structure and implement machine learning pipelines.
Website built in JavaScript & React as a "blog" to document an ML pipeline I built for Apartment Price Scraping project
Course 2 project of the Udacity ML DevOps Nanodegree Program
A deployed machine learning model that has the capability to automatically classify the incoming disaster messages into related 36 categories. Project developed as a part of Udacity's Data Science Nanodegree program.
This project simulates a real-world ML engineer workflow — from data to dashboard — using modern tooling like MLflow, Docker, GitHub Actions, and deployment understanding.
Electricity theft is a major issue in regions like Karachi, where unauthorized consumption of electricity leads to significant losses for utility companies. This project provides a solution for detecting electricity theft using machine learning models. By analyzing various factors such as electricity usage, voltage fluctuations, and historical data
Testing preprocessing capabilities of different ML libraries
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