Popular GitHub Repositories for Zenml

ZenML ?: The bridge between ML and Ops. https://zenml.io.

An end-to-end MLOps project covering everything from data ingestion to deployment using tools like ZenML, MLflow, streamlite and various MLOps libraries

An example MLOps overview of ZenML pipelines from a Huggingface Model Repository to a deployed AWS Sagemaker Endpoint.

My practices in mlops tools ?. Feel free to explore the various scripts and files ??. I am just diving into the world of production-ready Machine Learning with streamlined workflows. ?

A pipeline built on ZenML for training digit MNIST dataset using Pytorch, experiment tracking using MLFlow and model deployment using BentoML

A project to explore and learn about ZenML and mlflow using the hymenoptera dataset from PyTorch

Building, experimenting, and deploying a machine learning-based solution for sentiment analysis on financial news articles

A Terraform module for provisioning and registering a cloud ZenML stack in AWS.

Kindly Check the Readme File

Production Level MLOps Project for Titanic Dataset

Machine Learning Operation pipelines for train and monitoring Customer satisfaction model. Created using ZenML framework.

Machine Learning End Semester Project

This project uses the Brazilian E-Commerce Public Dataset by Olist to analyze customer behavior and sales trends. Utilizing ZenML, I implemented an MLOps workflow for data preprocessing, model training, and deployment, focusing on scalability and performance monitoring.

This repository contains a machine learning project focused on building a recommender system. The project is structured to facilitate the development, training, evaluation, and deployment of the recommender model. Key components and configurations are managed using various tools and frameworks.

目前正在使用ZenML和MLflow（具体工具和平台暂略）进行开发。

A MLOps project using zenml, mlflow

This project demonstrates how to build a machine learning pipeline to predict customer satisfaction. It utilizes ZenML for pipeline development and MLflow for deployment. The pipeline processes data, trains a model, and deploys it as a service. A Streamlit app provides a user interface for making predictions.

A Terraform module for provisioning and registering a cloud ZenML stack in Azure.

Stocks Forecasting for MAANG | MLOps using ZenML | Streamlit UI

Predicting how a customer will feel about a product before they even ordered it.