Data-Centric Pipelines and Data Versioning
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Updated
May 13, 2024 - Go
Data-Centric Pipelines and Data Versioning
Development and demonstration of a proof-of-concept for the integration of programming frameworks for high performance computing into a container-based workflow orchestrator.
The source for Pachyderm's documentation site.
Pachyderm pipeline example that automatically updates with GitHub Actions
Recommender system pipeline based on Collaborative Filtering
Pachelm [Pla - chelm] (Pachyderm + helm) helm style + laravel migration & seeds style framework to manage pipeline deployment as a package of migrations.
open source platform for simplifying machine learning deployment
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Realizing End to End Reproducible Machine Learning on Kubernetes
A demo integrating Pachyderm with Databricks (Spark & MLFlow)
Pachyderm on Kubernetes. A Terraform module for combinator.ml.
Go를 활용한 머신 러닝 책을 docker 환경으로 구성하고, pachyderm을 사용하여 pipeline 구축을 실습한다.
Data Lineage with End-to-End Pipelines on Kubernetes
Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models
❄️ 🐳 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++, Cognonic, etc.
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 …
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