There are 0 repository under zenml topic.
All the available resources to master MLOPS from scratch
An MLOps Project for the ZenML Month of MLOps Competition
LLM Evaluation and Observability System for Football Content
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.
A pipeline built on ZenML for training digit MNIST dataset using Pytorch, experiment tracking using MLFlow and model deployment using BentoML
A repository for Customer Satisfaction ML project 🚀. Using the power of Zenml, this repo ensures seamless integration of Machine Learning Operations.🤖
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.
Kindly Check the Readme File
An End to End Machine learning Project that aim to predict the weather based on some data required
Machine Learning End Semester Project
Building, experimenting, and deploying a machine learning-based solution for sentiment analysis on financial news articles
Testing ZenML
📦Customer Satisfaction Forecasting 🔍Order Analytics 🧠ML Pipeline ⚙️ZenML & MLflow 🌐Streamlit
🏠House Price Prediction💰 | Multi-Pipelines and Models | 🌀 ZenML, MLflow | 🧪Streamlit
prices predictor system Useing ZenML, a MLOPs framework
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.
Machine Learning Operation pipelines for train and monitoring Customer satisfaction model. Created using ZenML framework.
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.
Production Level MLOps Project for Titanic Dataset
A project to explore and learn about ZenML and mlflow using the hymenoptera dataset from PyTorch
A Terraform module for provisioning and registering a cloud ZenML stack in AWS.
This project is a complete, production-ready machine learning pipeline for house price prediction. It focuses on applying best practices in MLOps, using clean, modular code architecture, and implementing software engineering concepts like design patterns
A complete Agentic RAG infrastructure using ZenML pipelines including ETL, Dataset generation, Embedding, Inference and Evaluation
A machine learning pipeline built with ZenML for fine-tuning LLMs (default Gemma 3n) to generating alternative texts for images.
Deploying a machine learning model by using zenml and ml flow
A robust, modular, and production-ready platform for solar power system data analysis, machine learning, and prediction. Built with ZenML, Streamlit, MLflow, and a rich Python data science stack, this project enables end-to-end workflows from data ingestion and EDA to model training, deployment, inference and experiment tracking