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A repository to host extended examples and tutorials
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Jeremy Lewi adf614fc5f Add tensorboard and check in vendor for the code search example. (#255) 
* Add tensorboard and check in vendor for the code search example.

* * Remove the default env; when I ran ks show I got errors but
  removing it and adding a fresh env worked. It also won't point to
  the correct cluster for users.
 		2018-10-04 10:18:58 -07:00
agents Update PVC to /home/jovyan (#119) 2018-07-13 14:39:26 -07:00
code_search Add tensorboard and check in vendor for the code search example. (#255) 2018-10-04 10:18:58 -07:00
codelab-image Update Ksonnet version, Add Python2 pip (#216) 2018-08-07 22:58:20 -07:00
demos Update demo script & add notebook (#248) 2018-09-11 11:17:02 -07:00
github_issue_summarization docs updated (#240) 2018-09-24 15:07:27 -07:00
mnist example mnist upgrade to v1alpha2 (#246) 2018-09-09 13:01:21 -07:00
object_detection Updated object detection training example (#228) 2018-08-20 19:32:12 -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
xgboost_ames_housing new PR for XGBoost due to problems with history rewrite (#232) 2018-08-22 06:01:36 -07:00
.gitignore Add estimator example for github issues (#203) 2018-08-24 18:10:27 -07:00
.pylintrc Add namespace to ksonnet apply command (#57) 2018-04-02 09:41:02 -07:00
CONTRIBUTING.md Added tutorial for object detection distributed training (#74) 2018-07-03 14:10:20 -07:00
LICENSE Initial commit 2018-02-01 13:13:10 -08:00
OWNERS Ankush Signing Out (#253) 2018-09-28 16:17:20 -07:00
README.md Update README.md 2018-08-24 15:34:48 -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

Distributed Object Detection

Author: Daniel Castellanos

This example covers the following concepts:

  1. Gathering and preparing the data for model training using K8s jobs
  2. Using Kubeflow tf-job and tf-operator to launch a distributed object training job
  3. Serving the model through Kubeflow's tf-serving

Component-focused

XGBoost - Ames housing price prediction

Author: Puneith Kaul

This example covers the following concepts:

  1. Training an XGBoost model
  2. Shared persistent storage
  3. GCS and GKE
  4. Serving with Seldon Core

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.