Building-ML-Pipelines / building-machine-learning-pipelines
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
☆593Updated 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
- MLOps tutorial using Python, Docker and Kubernetes.☆388Updated 5 months ago
- [WIP] Examples for the Intro to ML with Kubeflow book☆204Updated 2 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆605Updated 2 years ago
- Companion repository for the book Building Machine Learning Powered Applications☆673Updated last year
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆1,954Updated 3 years ago
- Engineering MLOps, published by Packt☆184Updated 2 years ago
- CDF SIG MLOps☆617Updated 4 months ago
- [Book-2021] Practical MLOps O'Reilly Book☆776Updated 3 months ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆134Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆461Updated 9 months ago
- Software Architecture for ML engineers☆400Updated 2 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆589Updated 2 years ago
- 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
- ☆806Updated 3 weeks ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆390Updated 2 years ago
- An example MLflow project☆254Updated 11 months ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆363Updated last year
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆447Updated 3 years ago
- The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in …☆378Updated 2 months ago
- ☆704Updated 2 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆262Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavors☆221Updated 8 months ago
- An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI☆376Updated 11 months ago
- Reference code base for ML Engineering, Manning Publications☆128Updated 3 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆232Updated last year
- 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
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆440Updated 3 years ago
- Code for the online course "Deployment of Machine Learning Models"☆830Updated 7 months ago
- Python Feature Engineering Cookbook, published by Packt☆476Updated 2 years ago
- Machine Learning Engineering with MLflow, published by Packt☆115Updated 9 months ago