bodywork-pipeline-with-aporia-monitoring
ml-pipeline-engineering
| bodywork-pipeline-with-aporia-monitoring | ml-pipeline-engineering | |
|---|---|---|
| 1 | 2 | |
| 4 | 36 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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bodywork-pipeline-with-aporia-monitoring
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Calling Aporia from Bodywork Pipelines to Monitor Models in Production
Monitoring models for drift and degradation is not easy - theoretically or practically. In this example project we show to outsource these problems to Aporia’s model monitoring platform, by using their Python client from within a Bodywork pipeline.
ml-pipeline-engineering
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Engineering ML Pipelines - Part 2 of 3
Part One was all about getting setup and ready for the main event that is Part Two - developing the pipeline:
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Engineering ML Pipelines - Part 1 of 3
The GitHub repo that accompanies this project will have one branch for each post in the series, so you can see how it develops.
What are some alternatives?
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
bodywork-pymc3-project - Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork
amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
bodywork - ML pipeline orchestration and model deployments on Kubernetes.
MLOps - End to End toy example of MLOps
Realtime-MLOps - A framework of open-source technologies to design real-time machine learning systems
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.