An open-source ML pipeline development platform

Opt-Out tool to check Copyright reservations in a way that even machines can understand.

Репозиторий направления Production ML, весна 2021

A library to accelerate ML and ETL pipeline by connecting all data sources

2 Lines of code to track ML experiments + EDA + check into Github

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From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.

Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring

RFlow - A workflow framework for agile machine learning

A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀

Optimizing an ML Pipeline in Azure - A Machine Learning Engineer Project

Our goal with this ML pipeline template is to create a user friendly utility to drastically speed up the development and implementation of a machine learning model for all sorts of various problems.

Repo containing Channel Quality Indicator (CQI) data from real car routes in Greece. It contains a reproducable notebook with the implementation of a Bidirectional LSTM Neural Network for real-time CQI forecasting in heterogeneous ultra-dense beyond-5G networks.

A package of utilities for engineering ML pipelines.

A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀

Install Airflow using docker

This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.

The Anonymous Synthesizer for Health Data

Machine Learning Project Pipeline

Showcase of MLflow capabilities