npepin-hub

capstone-prototype

A first version of a deep captioning model

amazon-sagemaker-developer-guide

The open source version of the Amazon SageMaker docs

amazon-sagemaker-operator-for-k8s

Amazon SageMaker operator for Kubernetes

applying-gradient-descent-data-science-intro-000

applying-gradient-descent-lab-data-science-intro-000

odh-dashboard

openshift-operator

Operator for deploying Pachyderm on OpenShift

aws-deep-learning-amis

This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud

aws-deep-learning-containers

calculus-derivation-gradient-descent-data-science-intro-000

deep-learning-notebooks

Deep Learning courses notebooks

derivative-chain-rule-data-science-intro-000

derivative-rules-data-science-intro-000

docsearch-configs

DocSearch - Configurations

gradient-descent-step-sizes-data-science-intro-000

gradient-to-cost-function-data-science-intro-000

jsonnet-pipelines-test

Test repo for creating pipeline from hosted, downloadable templates

kubeflow-manifests

KubeFlow on AWS

ml-docker

multivariable-calculus-gradient-descent-data-science-intro-000

multivariable-calculus-gradient-descent-ds-apply-000

multivariable-functions-data-science-intro-000

multivariable-functions-ds-apply-000

nonlinear-derivatives-readme-data-science-intro-000

pachyderm

Reproducible Data Science at Scale!

partial-derivatives-lab-data-science-intro-000

partial-derivatives-lab-ds-apply-000

pipelines

Machine Learning Pipelines for Kubeflow

rules-for-derivatives-lab-data-science-intro-000

website

Kubernetes website and documentation repo: