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

All the available resources to master MLOPS from scratch

An MLOps Project for the ZenML Month of MLOps Competition

Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.

A template for a starter project for ZenML

Kyligence Zen Metrics Language Toolkit

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.

End-to-end pipeline that identifies specialized research papers through automated classification, demonstrated with an LLMOps use case that includes data ingestion, model training, evaluation, and deployment.

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 full MLOps workflow for predicting traffic volume using an XGBoost regression model. Built with ZenML, the pipeline includes steps for data ingestion, preprocessing, training, evaluation, and deployment using MLflow.

A repository for Customer Satisfaction ML project 🚀. Using the power of Zenml, this repo ensures seamless integration of Machine Learning Operations.🤖

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

Testing ZenML

Production Level MLOps Project for Titanic Dataset

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

Ongoing | 🏠~>🤖~>💰 via 🌀 ZenML and 🧪 MLflow

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.