Data-Centric Pipelines and Data Versioning
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Updated
Aug 23, 2024 - Go
Data-Centric Pipelines and Data Versioning
❄️ 🐳 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
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
open source platform for simplifying machine learning deployment
Pachyderm pipeline example that automatically updates with GitHub Actions
The source for Pachyderm's documentation site.
Realizing End to End Reproducible Machine Learning on Kubernetes
Pachyderm on Kubernetes. A Terraform module for combinator.ml.
Metabolomics data analysis using Pachyderm
Go를 활용한 머신 러닝 책을 docker 환경으로 구성하고, pachyderm을 사용하여 pipeline 구축을 실습한다.
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 …
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
💹 Cognitive Services, ML, Machine Learning, Data Ingestion, Azure, Docker, Container, R, Python, C#, Java, Hadoop, Spark etc. This is also a Cognonic reference doc.
An example Pachyderm ML pipeline using Nervana Neon
☀️ Unlocking Fusion with Containers and Kubernetes
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