Data-Centric Pipelines and Data Versioning
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
open source platform for simplifying machine learning deployment
Realizing End to End Reproducible Machine Learning on Kubernetes
Pachyderm pipeline example that automatically updates with GitHub Actions
An example Pachyderm ML pipeline using Nervana Neon
The source for Pachyderm's documentation site.
☀️ Unlocking Fusion with Containers and Kubernetes
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
Go를 활용한 머신 러닝 책을 docker 환경으로 구성하고, pachyderm을 사용하여 pipeline 구축을 실습한다.
💹 Cognitive Services, ML, Machine Learning, Data Ingestion, Azure, Docker, Container, R, Python, C#, Java, Hadoop, Spark etc. This is also a Cognonic reference doc.
There are many reasons that the natural inclination to look at the cloud for execution of Kubernetes data science analytics workloads may not be the best first choice for some organizations but CNCF still shows the way forward towards structuring both infrastructure and applications to embrace on-premise environments that enable either eventual …
Pachelm [Pla - chelm] (Pachyderm + helm) helm style + laravel migration & seeds style framework to manage pipeline deployment as a package of migrations.
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