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A repository to host extended examples and tutorials
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Michelle Casbon 836ad70421 Fix model file upload (#160) 
* Add component parameters

Add model_url & port arguments to flask app
Add service_type, image, and model_url parameters to ui component
Fix problem argument in tensor2tensor component

* Fix broken UI component

Fix broken UI component structure by adding all, service, & deployment parts
Add parameter defaults for tfjob to resolve failures deploying other components

* Add missing imports in flask app

Fix syntax error in argument parsing
Remove underscores from parameter names to workaround ksonnet bug #554: https://github.com/ksonnet/ksonnet/issues/554

* Fix syntax errors in t2t instructions

Add CPU image build arg to docker build command for t2t-training
Fix link to ksonnet app dir
Correct param names for tensor2tensor component
Add missing params for tensor2tensor component
Fix apply command syntax
Swap out log view pod for t2t-master instead of tf-operator
Fix link to training with tfjob

* Fix model file upload

Update default params for tfjob-v1alpha2
Fix build directory path in Makefile

* Resolve lint issues

Lines too long

* Add specific image tag to tfjob-v1alpha2 default

* Fix defaults for training output files

Update image tag
Add UI image tag

* Revert service account secret details

Update associated readme
 		2018-06-29 18:41:20 -07:00
agents Restore runnability of example; vendor agnostic storage (#72) 2018-04-06 21:37:08 -07:00
code_search Add new TF-Serving component with sample task (#152) 2018-06-28 20:37:21 -07:00
github_issue_summarization Fix model file upload (#160) 2018-06-29 18:41:20 -07:00
mnist Fixed distributed training for LINEAR model (#130) 2018-06-13 11:57:28 -07:00
test/workflows Fix failing test due to https://github.com/kubeflow/testing/pull/111 (#95) 2018-04-24 12:11:00 -07:00
.gitignore Make it easier to demo serving and run in Katacoda (#107) 2018-04-28 08:11:18 -07:00
.pylintrc Add namespace to ksonnet apply command (#57) 2018-04-02 09:41:02 -07:00
CONTRIBUTING.md Tune application-focused description (#124) 2018-06-06 19:56:24 -07:00
LICENSE Initial commit 2018-02-01 13:13:10 -08:00
OWNERS Add cwbeitel reviewer & texasmichelle approver (#64) 2018-03-29 15:21:03 -07:00
README.md Proposed repo strategy (#117) 2018-06-05 09:57:57 -07:00
prow_config.yaml Skeleton testing framework (#18) 2018-03-01 21:30:50 -08:00

README.md

kubeflow-examples

A repository to share extended Kubeflow examples and tutorials to demonstrate machine learning concepts, data science workflows, and Kubeflow deployments. They illustrate the happy path, acting as a starting point for new users and a reference guide for experienced users.

This repository is home to three types of examples:

  1. End-to-end
  2. Component-focused
  3. Application-specific

End-to-end

GitHub issue summarization

Author: Hamel Husain

This example covers the following concepts:

  1. Natural Language Processing (NLP) with Keras and Tensorflow
  2. Connecting to Jupyterhub
  3. Shared persistent storage
  4. Training a Tensorflow model
  5. CPU
  6. GPU
  7. Serving with Seldon Core
  8. Flask front-end

MNIST

Author: Elson Rodriguez

This example covers the following concepts:

  1. Image recognition of handwritten digits
  2. S3 storage
  3. Training automation with Argo
  4. Monitoring with Argo UI and Tensorboard
  5. Serving with Tensorflow

Component-focused

Application-specific

Third-party hosted

Source Example Description

Get Involved

In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.

The Kubeflow community is guided by our Code of Conduct, which we encourage everybody to read before participating.