ML pipeline orchestration and model deployments on Kubernetes, made really easy.
how to deploy it to Kuberentes using Bodywork.
Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork
All of the code is hosted in a GitHub repo, that you can use as a template for your own projects.
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
[D] How to maintain ML models?
5 projects | reddit.com/r/MachineLearning | 16 Sep 2021
[D] Productionalizing machine learning pipelines for small teams
3 projects | reddit.com/r/MachineLearning | 8 Aug 2021
Deployment automation for ML projects of all shapes and sizes
1 project | news.ycombinator.com | 9 Jun 2021
[P] [D] How are you approaching prediction uncertainty in ML systems?
1 project | reddit.com/r/MachineLearning | 17 May 2021
Bodywork: MLOps tool for deploying ML projects to Kubernetes
1 project | news.ycombinator.com | 4 May 2021