pachyderm

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

Python client for Pachyderm

A Python client library for Pachyderm

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

Pachyderm gRPC client with Scala niceties

The source for Pachyderm's documentation site.

Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models

☀ Unlocking Fusion with Containers and Kubernetes

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 or simultaneous scale out to cloud based services. This is an important Cognonic focus topic and reference documentation.

Playing with pachyderm, using haskell

Pachyderm + Elasticsearch

Pachelm [Pla - chelm] (Pachyderm + helm) helm style + laravel migration & seeds style framework to manage pipeline deployment as a package of migrations.

Metabolomics data analysis using Pachyderm

Development and demonstration of a proof-of-concept for the integration of programming frameworks for high performance computing into a container-based workflow orchestrator.