Deploying machine learning projects developed in Python, to Kubernetes.
London, UK
Joined November 2020
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🤖 Machine Learning Engineers 🤖
Run scripts, serve models and deploy pipelines, without the DevOps headaches.
Try Bodywork - the open-source deployment automation tool for machine learning in Python, on Kubernetes 🚀
bodywork-ml retweeted
🛠️ Project of the week goes to “Bodywork” by @BodyworkMl - A command line tool that deploys machine learning pipelines to Kubernetes. It takes care of everything to do with containers and orchestration, so that you don't have to 🔥
github.com/bodywork-ml/bodyw…
bodywork-ml retweeted
Bodywork is a MLOps tool which can be used to deploy machine learning model pipelines to Kubernetes. It is a more lightweight and simpler alternative when compared to tools like KubeFlow
➤ github.com/bodywork-ml/bodyw…
Bodywork v3.0.0 has been released!
💻 Re-worked CLI
🔥 Re-imagined user experience
📗 Run Jupyter notebooks as stages in a pipeline
🔒 Enhanced secrets management
⚡️ ML pipelines on Kubernetes made easy
#MLOps #Kubernetes
github.com/bodywork-ml/bodyw…
bodywork-ml retweeted
Bodywork is a MLOps tool which can be used to deploy machine learning model pipelines to Kubernetes. It is a more lightweight and simpler alternative when compared to tools like KubeFlow
➜ github.com/bodywork-ml/bodyw…
Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes #DataScience #MachineLearning #MLOps
github.com/AlexIoannides/pyc…
Scientific review of concept drift in ML systems:
→ mathematical definition of the problem
→ drift signals in the absence of labelled data
→ defining thresholds for triggering re-training
→ references to academic research
concept-drift.fastforwardlab…
#MachineLearning #mlops
bodywork-ml retweeted
“… many projects suffer from fundamental design flaws that make them — even on a purely technical level — non-starters from the beginning.”
And what to do about it. Short, worthwhile read for anyone #MachineLearning and #MLOps arxiv.org/abs/2011.02832
bodywork-ml retweeted
A next blog in the Engineering ML pipelines series by @ioannides_alex 📖
How to develop a fully-operational pipeline and run it on a schedule:
bodyworkml.com/posts/enginee…
Very happy to get mentioned alongside such distinguished company.
@seldon_io named among the top #Opensource MLOps tools in 2021, learn more here: techninjahere.medium.com/top… via
@techninjahere
Others include:
@pachyderminc @kubeflow @MLflow @MetaflowOSS @zenml_io @BodyworkMl @MLReef @iguazio @DVCorg
bodywork-ml retweeted
Exciting news🎉 You can now easily monitor models deployed with @BodyworkMl to track model drift, performance degradation and more, using Aporia!
Calling Aporia from Bodywork Pipelines to Monitor Models in Production
bodyworkml.com/posts/use-apo…
@alongubkin #MLOps #MachineLearning
Calling Aporia from Bodywork Pipelines to Monitor Models in Production
bodyworkml.com/posts/use-apo…
@alongubkin #MLOps #MachineLearning
Engineering ML Pipelines - Part 2 of 3
bodyworkml.com/posts/enginee…
#MLOps #MachineLearning #Python
bodywork-ml retweeted
In a series of articles @ioannides_alex shows how to engineer a machine learning pipeline and move from a Jupyter notebook to a production environment:
bodyworkml.com/posts/enginee…
Setting-up CI/CD for machine learning projects bodyworkml.com/posts/ci-cd-f… #mlops #machinelearning
bodywork-core v2.1.0 has been released
✅ deploy #MachineLearning projects hosted on @gitlab, @AzureDevOps or @Bitbucket
✅ run a stage after a pipeline fails, to trigger alerts.
✅ version your ML artefacts with your pipeline's Git commit hash.
bodyworkml.com/posts/bodywor… #MLOps
bodywork-ml retweeted
My thoughts on handling prediction uncertainty in production systems using Bayesian inference and probabilistic programs, with help from @BodyworkMl and @pymc_devs #MachineLearning #Python #MLOps #Kubernetes bodyworkml.com/posts/serving…
A tutorial on handling prediction uncertainty in production systems, by using Bayesian inference and probabilistic programs #MLOps #PyMC3 #MachineLearning #Statistics bodyworkml.com/posts/serving…