Building-ML-Pipelines / building-machine-learning-pipelinesLinks
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
☆595Updated 2 years ago
Alternatives and similar repositories for building-machine-learning-pipelines
Users that are interested in building-machine-learning-pipelines are comparing it to the libraries listed below
Sorting:
- [WIP] Examples for the Intro to ML with Kubeflow book☆205Updated 3 years ago
- ☆812Updated 2 months ago
- Companion repository for the book Building Machine Learning Powered Applications☆675Updated 2 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆606Updated 2 years ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆1,994Updated 4 years ago
- MLOps tutorial using Python, Docker and Kubernetes.☆394Updated 7 months ago
- Engineering MLOps, published by Packt☆186Updated 2 years ago
- CDF SIG MLOps☆624Updated 6 months ago
- An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI☆385Updated last year
- [Book-2021] Practical MLOps O'Reilly Book☆787Updated 4 months ago
- Basic and advanced MLflow examples for many ML flavors☆225Updated 10 months ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆135Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆463Updated 2 weeks ago
- An example MLflow project☆258Updated last year
- Machine Learning Engineering with MLflow, published by Packt☆115Updated 10 months ago
- Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools …☆126Updated 11 months ago
- 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 …☆238Updated 4 years ago
- Small Google Cloud Platform examples and code snippets.☆155Updated 2 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆449Updated 3 years ago
- Python Feature Engineering Cookbook, published by Packt☆477Updated 2 years ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆649Updated last month
- Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/Goo…☆470Updated 3 years ago
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆410Updated 4 months ago
- This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.☆41Updated last year
- Code for the online course "Deployment of Machine Learning Models"☆840Updated 9 months ago
- Machine Learning on Google Cloud Platform☆498Updated 2 months ago
- Kubeflow’s superfood for Data Scientists☆633Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆238Updated 2 years ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆367Updated 2 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆390Updated 2 years ago