bodywork-pipeline-with-aporia-monitoring VS Realtime-MLOps

Compare bodywork-pipeline-with-aporia-monitoring vs Realtime-MLOps and see what are their differences.

bodywork-pipeline-with-aporia-monitoring

Integrating Aporia ML model monitoring into a Bodywork serving pipeline. (by bodywork-ml)
Mlops ml-monitoring Machine Learning ml-serving ml-training Python Kubernetes

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Realtime-MLOps

A framework of open-source technologies to design real-time machine learning systems (by PiePra)
cloud-native Kubernetes Mlops Real-time Realtime
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bodywork-pipeline-with-aporia-monitoring Realtime-MLOps
1 1
4 21
- -
0.0 1.3
almost 2 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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bodywork-pipeline-with-aporia-monitoring

Posts with mentions or reviews of bodywork-pipeline-with-aporia-monitoring. We have used some of these posts to build our list of alternatives and similar projects.

Realtime-MLOps

Posts with mentions or reviews of Realtime-MLOps. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing bodywork-pipeline-with-aporia-monitoring and Realtime-MLOps you can also consider the following projects:

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

ros-realtime-rpi4-image - An image for the Raspberry Pi 4 with ROS 2 and Linux RT preinstalled

VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github

awesome-argo - A curated list of awesome projects and resources related to Argo (a CNCF graduated project)

bodywork-pymc3-project - Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork

hongbomiao.com - A personal research and development (R&D) lab that facilitates the sharing of knowledge.

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

ml-pipeline-engineering - Best practices for engineering ML pipelines.

jina - ☁️ Build multimodal AI applications with cloud-native stack

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

SocketCluster - Highly scalable realtime pub/sub and RPC framework

bodywork-pipeline-with-aporia-monitoring vs evidently Realtime-MLOps vs ros-realtime-rpi4-image bodywork-pipeline-with-aporia-monitoring vs VevestaX Realtime-MLOps vs awesome-argo bodywork-pipeline-with-aporia-monitoring vs bodywork-pymc3-project Realtime-MLOps vs hongbomiao.com bodywork-pipeline-with-aporia-monitoring vs ML-Workspace Realtime-MLOps vs Made-With-ML bodywork-pipeline-with-aporia-monitoring vs ml-pipeline-engineering Realtime-MLOps vs jina bodywork-pipeline-with-aporia-monitoring vs bodywork Realtime-MLOps vs SocketCluster