Alternatives and similar repositories for EngineeringMLOps

Users that are interested in EngineeringMLOps are comparing it to the libraries listed below

• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆115Updated last year
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆161Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 2 years ago
• dmatrix / mlflow-workshop-part-1
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …
  ☆240Updated 4 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆130Updated 3 years ago
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆816Updated 6 months ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆82Updated 2 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆136Updated last year
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆247Updated last year
• honghanhh / coursera-practical-data-science-specialization
  Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
  ☆60Updated 3 years ago
• noahgift / Python-MLOps-Cookbook
  This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
  ☆412Updated 6 months ago
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆183Updated 3 years ago
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆364Updated 2 years ago
• srijiths / MLOps-IRIS
  Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
  ☆63Updated 3 years ago
• soumik12345 / mlops-zoomcamp-wandb
  ☆32Updated 2 years ago
• ziritrion / ml-zoomcamp
  ML Zoomcamp fall 2021 homework and stuff
  ☆66Updated 3 years ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆218Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-on-AWS
  Machine Learning Engineering on AWS, published by Packt
  ☆67Updated last year
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆107Updated 2 years ago
• nogibjj / mlops-template
  mlops template
  ☆287Updated 6 months ago
• PacktPublishing / The-Machine-Learning-Solutions-Architect-Handbook
  The Machine Learning Solutions Architect Handbook, published by Packt
  ☆144Updated 2 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated last year
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆481Updated 2 years ago
• iterative / magnetic-tiles-defect
  Demo Computer Vision Project
  ☆62Updated 2 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆166Updated 9 months ago
• AntonisCSt / Mlops_project_semicon
  A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data
  ☆22Updated 2 years ago
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆37Updated last year
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆71Updated last year
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago
• solegalli / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆395Updated last year