examples

(★ 1,461)

A repository to host extended examples and tutorials

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최종 버전 다운로드 (.zip)

- - triage_issues.yaml
- issue_label_bot.yaml
- stale.yml
- - README.md
  - train_labels.zip
- - background.jpg
  - kaggle-account.PNG
  - kale-deployment-panel.PNG
  - kale-pipeline-metrics.PNG
  - kale-pipeline.PNG
  - kfp-pipeline-metrics.PNG
  - kfp-pipeline.PNG
  - README.md
  - view-pipeline.PNG
- american-express-default-prediction-kale.ipynb
- american-express-default-prediction-kfp.ipynb
- american-express-default-prediction-orig.ipynb
- README.md
- requirements.txt
- blue-book-for-bulldozers-kaggle-competition-kfp.ipynb
- blue-book-for-bulldozers-kaggle-competition-kfp.py
- blue-book-for-bulldozers-kaggle-competition-kfp.yaml
- Readme.md
- LICENSE
- README.md
- Rec.rar
- vgg16.ipynb
- cnn temp.py
- cnn template.docx
- cnntemp.ipynb
- Pipeline template mnist example.docx
- - count_lines_of_code.py
  - README.md
- - .gitignore
  - app.yaml
- - .gitignore
  - app.yaml
  - README.md
- - CodeSearchPipelineNotebook.ipynb
  - index_update_pipeline.py
  - README.md
- - MANIFEST.in
  - requirements.dataflow.txt
  - requirements.nmslib.txt
  - requirements.ui.txt
  - setup.py
- .dockerignore
- .gitignore
- code-search.ipynb
- developer_guide.md
- Makefile
- OWNERS
- README.md
- Dockerfile
- Makefile
- README.md
- parallelism.py
- volume_parallel.py
- - component.yaml
  - download.yaml
  - README.md
  - recurring.ipynb
  - success.sh
- - gpu-example-katib.yaml
  - gpu-example-pipeline.py
  - kubeflow-demo-base.env
  - kubeflow-demo-simple-pipeline.env
  - README.md
- - Dockerfile.training
  - Dockerfile.ui
  - Makefile
  - README.md
- README.md
- - README.md
  - sample_submission.csv
  - test.csv.zip
  - train.csv.zip
- - kale-pipeline.PNG
  - kfp-pipeline.PNG
  - README.md
- digit-recognizer-kale.ipynb
- digit-recognizer-kfp.ipynb
- digit-recognizer-orig.ipynb
- digit_recognizer_orig.ipynb
- README.md
- requirements.txt
- - class.yaml
  - deployment.yaml
  - rbac.yaml
  - test-claim.yaml
- - distributed-training-1011-final.yaml
  - k8s_distributed_training_final_version.ipynb
  - requirement.txt
- - pipeline-service1.yaml
  - pipeline-service2.yaml
  - pipeline-service3.yaml
- - bowei.jpg
  - changwei.jpg
  - gauyuan.jpg
  - jhengwei.jpg
  - tingsheng.jpg
  - yaohong.jpg
  - yongsiang.jpg
  - yujhen.jpg
  - yusiang.jpg
- Dockerfile
- README.md
- step1_Local_K8s_and_Kubeflow_setup.md
- step2_NFS_setup.md
- step3_Storageclass_PVC_setting.md
- step4_Distributed_training.md
- - Dockerfile
  - eval.py
- - face_pipeline_01.yaml
  - my_pipeline.py
- - dockerfile
  - train.py
- Readme.md
- facial-keypoints-detection-kale.ipynb
- facial-keypoints-detection-kfp.ipynb
- facial-keypoints-detection-kfp.py
- facial-keypoints-detection-orig.ipynb
- Readme.md
- - __init__.py
  - Dockerfile
  - ml_pipeline.py
  - requirements.txt
  - run_deploy.py
  - run_preprocess.py
  - run_preprocess_train_deploy.py
  - run_train.py
  - tfserving.yaml
- .gitignore
- Financial Time Series with Finance Data.ipynb
- OWNERS
- README.md
- - cpu-ram-spec.PNG
  - g-research-crypto-forecast-kale-pipeline.PNG
  - g-research-crypto-forecast-kfp-pipeline.PNG
  - kaggle-account.PNG
  - kale-deployment-panel.PNG
  - kale-pipeline-metrics.PNG
  - kale-volume.PNG
  - kfp-pipeline-metrics.PNG
  - README.md
  - vector-blockchain-poster.jpg
  - view-pipeline.PNG
- g-research-crypto-forecast-kale.ipynb
- g-research-crypto-forecast-kfp.ipynb
- g-research-crypto-forecast-orig.ipynb
- README.md
- requirements.txt
- - gh-demo-dm-config.yaml
  - README.md
- - Dockerfile
- - .gitignore
  - app.yaml
- - Dockerfile
  - Dockerfile.estimator
  - environment_seldon_rest
  - IssueSummarization.py
  - Makefile
  - requirements.txt
  - seq2seq_utils.py
  - train.py
  - train_test.py
  - trainer.py
  - Training.ipynb
- - build.json
  - docker-config.yaml
  - export.json
  - github_issues_medium.csv
  - pre_process.json
  - README.md
  - split.json
  - train.json
- - README.md
  - tutorial.md
- - GetIssues.sql
- - tfjob_test.py
- - Dockerfile
  - github_issues_summarization.yaml
  - README.md
- .gitignore
- 01_setup_a_kubeflow_cluster.md
- 02_distributed_training.md
- 02_training_the_model.md
- 02_training_the_model_tfjob.md
- 03_serving_the_model.md
- 04_querying_the_model.md
- 05_teardown.md
- image_build.jsonnet
- Makefile
- README.md
- requirements.txt
- - kaggle_api_token.PNG
  - kale_cell_metadata.PNG
  - kale_deployment_panel.PNG
  - kale_pipeline_graph.PNG
  - kfp_client.PNG
  - kfp_pipeline_func.PNG
  - kfp_pipeline_graph.PNG
- h&m-fash-rec-kale.ipynb
- h&m-fash-rec-kfp.ipynb
- h&m-fash-rec-orig.ipynb
- README.md
- requirements.txt
- resource.yaml
- - data_description.txt
  - sample_submission.csv
  - test.csv
  - train.csv
- - kale_cell_metadata.PNG
  - kale_deployment_panel.PNG
  - kale_pipeline_graph.PNG
  - kfp_client.PNG
  - kfp_pipeline_func.PNG
  - kfp_pipeline_graph.PNG
- data.zip
- house-prices-kale.ipynb
- house-prices-kfp.ipynb
- house-prices-orig.ipynb
- README.md
- requirements.txt
- - local_api.py
- - ...
  - enter-api-key.PNG
  - enter-username.PNG
  - jpx-kale-deployment-panel.PNG
  - jpx-view-pipeline.PNG
  - kaggle-click-account.PNG
  - kaggle-create-new-api-token.PNG
  - kale-metrics.PNG
  - kale-pipeline.PNG
  - kfp-metrics.PNG
  - kfp-pipeline.PNG
  - notebook-ui-kaggle-config.png
  - pass-kaggle-json-path.PNG
- jpx-tokyo-stock-exchange-prediction-kale.ipynb
- jpx-tokyo-stock-exchange-prediction-kfp.ipynb
- jpx-tokyo-stock-exchange-prediction-orig.ipynb
- README.md
- requirements.txt
- - central-ui.png
  - create-run.png
  - final-output.png
  - pipelines-ui.png
  - start_run.png
  - upload-pipeline.png
- k8s-apply-component.yaml
- k8s-get-component.yaml
- kubeflow-pipeline.ipynb
- LICENSE
- OWNERS
- README.md
- spark-job.yaml
- spark-rbac.yaml
- spark_job_pipeline.yaml
- - kubeflow-e2e-mnist.ipynb
- - first_isvc_kserve.ipynb
  - first_isvc_kserve.md
  - iris-input.json
- OWNERS
- - 0.png
  - 1.png
  - 2.png
  - 3.png
  - 4.png
  - 5.png
  - 6.png
  - 7.png
  - 8.png
  - 9.png
- - mnist-nb-pipeline-run.yaml
- - Dockerfile
  - flask_server.py
  - mnist_client.py
  - mnist_client_test.py
  - README.md
- .gitignore
- Dockerfile.model
- k8s_util.py
- Makefile
- mnist_aws.ipynb
- mnist_azure.ipynb
- mnist_gcp.ipynb
- mnist_ibm.ipynb
- mnist_vanilla_k8s.ipynb
- model.py
- notebook_setup.py
- README.md
- requirements.txt
- - build_components.sh
  - copy_specification.sh
- - step-1-setup.md
  - step-2-build-components.md
  - step-3-upload-dataset.md
  - step-4-custom-prediction-routine.md
  - step-5-run-pipeline.md
  - step-6-monitor-training.md
  - step-7-predictions.md
- - Pipeline.ipynb
- - build_routine.sh
  - model_prediction.py
  - setup.py
  - text_preprocessor.py
- .gitignore
- README.md
- - docker.sh
  - Install.md
  - kubeflow.v13.sh
  - minikube.sh
- - Docker.md
  - Dockerfile
- - Cornell-1000-nltk.ipynb
  - cornell-1000.zip
  - Jupyter Notebook.md
  - Twitter-5000-nltk.ipynb
  - twitter-5000.zip
- - boot cleanup up.png
  - boot cleanup.png
  - chown.png
  - compare runs.png
  - cornell-1000 accuracy.png
  - data list.png
  - docker version.png
  - first minikube.png
  - flow chart.png
  - get pods.png
  - kubeflow home.png
  - login.png
  - ls -l no.png
  - ls -l yes.png
  - nice to meet you.png
  - NLP N.png
  - NLP.png
  - nltk.jpg
  - nltk.png
  - pipeline.png
  - port forward.png
  - second minikube.png
  - twitter-5000 accuracy.png
- README.md
- - ReadME.md
  - sample_submission.csv
  - test.csv
  - test.csv.zip
  - train.csv
  - train.csv.zip
- - ReadME.md
  - Screenshot (254).png
  - Screenshot (255).png
  - Screenshot (257).png
  - Screenshot (258).png
  - Screenshot (259).png
  - Screenshot (263).png
  - Screenshot (265).png
  - Screenshot (269).png
- natural-language-processing-with-disaster-tweets-kale.ipynb
- natural-language-processing-with-disaster-tweets-kfp.ipynb
- natural-language-processing-with-disaster-tweets-orig.ipynb
- ReadME.md
- requirements.txt
- - batch-predict.yaml
- - faster_rcnn_resnet101_pets.config
- - Dockerfile.batch-predict
  - Dockerfile.batch-predict-gpu
  - Dockerfile.training
- - .gitignore
  - app.yaml
- - image1.jpg
  - object_detection_grpc_client.py
  - predict.py
  - standard_fields.py
  - visualization_utils.py
- export_tf_graph.md
- monitor_job.md
- README.md
- setup.md
- submit_batch_predict.md
- submit_job.md
- tf_serving_cpu.md
- tf_serving_gpu.md
- openvaccine-kaggle-competition-kfp.ipynb
- openvaccine-kaggle-competition-kfp.py
- openvaccine-kaggle-competition-kfp.yaml
- Readme.md
- - .gitignore
  - OWNERS
  - README.md
- - actions_ower_view.png
  - check_action.png
  - deep_dive.png
  - example_pipeline.py
  - example_workflow.yml
  - parameters.yaml
  - README.md
- - .gitignore
  - mnist_pipeline.py
  - README.md
  - requirements.txt
- - README.md
  - Simple Notebook Pipeline.ipynb
- OWNERS
- README.md
- - data-passing-runs-graph.jpg
  - data-passing-runs-params.jpg
  - data-passing.py
  - dsl-example.py
  - sidecar-example.py
- - mnist-example.py
- - runs-graph.jpg
  - volume_example.py
- README.md
- bentoml-kubeflow-prophet.ipynb
- covid_19_data.csv
- - __init__.py
- README.md
- - .gitignore
  - app.yaml
- - deploy_test.py
  - predict_test.py
  - pytorchjob_test.py
- - build_image.sh
  - Dockerfile
  - flask_server.py
  - mnist_client.py
  - README.md
- 01_setup_a_kubeflow_cluster.md
- 02_distributed_training.md
- 03_serving_the_model.md
- 04_querying_the_model.md
- 05_teardown.md
- Dockerfile.ksonnet
- image_build.jsonnet
- ksonnet-entrypoint.sh
- Makefile
- OWNERS
- README.md
- - kaggle_api_token.png
  - kale_cell_metadata.png
  - kale_deployment_panel.png
  - kale_pipeline_graph.png
  - kfp_client.png
  - kfp_pipeline_func.png
  - kfp_pipeline_graph.png
- README.md
- requirements.txt
- resource.yaml
- store-sales-kale.ipynb
- store-sales-kfp.ipynb
- store-sales-orig.ipynb
- submission.csv
- - WA_Fn-UseC_-Telco-Customer-Churn.csv
- - ...
  - kale-deployment-panel.PNG
  - telco-kale-pipeline-visualization.PNG
  - telco-kale-pipeline.PNG
  - telco-kfp-pipeline-visualization.PNG
  - telco-kfp-pipeline.PNG
  - view-pipeline.PNG
- README.md
- requirements.txt
- telco-customer-churn-kale.ipynb
- telco-customer-churn-kfp.ipynb
- telco-customer-churn-orig.ipynb
- mpi-job.yaml
- README.md
- - distributed_nmt_with_attention.py
  - Dockerfile
  - fairing-with-python-sdk.ipynb
  - katib-with-python-sdk.ipynb
  - nmt_with_attention.py
  - non_dist_Dockerfile
  - requirements.txt
  - tekton-pipeline-with-python-sdk.ipynb
  - tfjob-with-python-sdk.ipynb
- - distributed_text_classification_rnn.py
  - Dockerfile
  - fairing-with-python-sdk.ipynb
  - katib-with-python-sdk.ipynb
  - non_dist_Dockerfile
  - requirements.txt
  - tekton-pipeline-with-python-sdk.ipynb
  - text_classification_rnn.py
  - tfjob-with-python-sdk.ipynb
- OWNERS
- README.md
- - app.yaml
- copy_secret.sh
- Readme.md
- titanic-kaggle-competition-kfp.ipynb
- titanic-kaggle-competition-kfp.py
- titanic-kaggle-competition-kfp.yaml
- - data_description.txt
  - sample_submission.csv
  - test.csv
  - train.csv
- - .gitignore
  - app.yaml
- - housing.dat
  - HousingServe.py
  - requirements.txt
- - conftest.py
  - Dockerfile.ubuntu-s2i
  - Makefile
  - predict_test.py
  - query.json
  - seldon-image-build.yaml
- Dockerfile
- housing.py
- OWNERS
- py-claim.yaml
- py-job.yaml
- py-volume.yaml
- README.md
- - addgcpsecret.png
- - conftest.py
  - execute_notebook.py
  - job.yaml
  - README.md
  - xgboost_test.py
- .gitignore
- build-train-deploy.ipynb
- Dockerfile
- Makefile
- notebook_setup.py
- README.md
- requirements.txt
- util.py
- xgboost_util.py
.gitignore
.pylintrc
CONTRIBUTING.md
LICENSE
OWNERS
prow_config.yaml
README.md

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/kubeflow/examples

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd examples

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Docker

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.

docker build -f FaceNet-distributed-training/Dockerfile -t examples .

Dockerfile을 기반으로 실행 가능한 이미지를 빌드합니다.

docker run -p 8080:80 examples

빌드된 이미지를 실제 컨테이너로 실행합니다.

✅ 터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.

3. Node.js

쉬움

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Node.js npm 명령어를 쓰려면 Node.js가 설치되어 있어야 합니다. LTS(장기지원) 버전을 추천합니다.

⚠️ 이 프로젝트는 규모가 큰 저장소라, 이 방법이 실제 핵심 제품이 아니라 내부 하위 패키지를 가리키는 것일 수 있습니다. README 전체를 함께 확인해보세요.

cd code_search/src/ui

이 프로젝트의 관련 파일이 하위 폴더 안에 있어서, 먼저 그 폴더로 이동합니다.

npm install

package.json에 명시된 라이브러리들을 내려받아 설치합니다.

npm start

개발/실행 서버를 켭니다.

✅ 명령어 실행 후 터미널에 나타나는 주소(보통 http://localhost:3000 형태)를 브라우저에서 열어보세요.

4. Python

쉬움

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install -r G-research-crypto-forecasting-kaggle-competition/requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

jupyter notebook

브라우저에서 노트북(.ipynb) 파일들을 열람하고 실행할 수 있는 Jupyter 화면을 켭니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

5. Make

보통

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Make Linux/macOS는 보통 기본 설치되어 있습니다. Windows는 별도 설치(예: MSYS2, WSL)가 필요합니다.

cd code_search

이 프로젝트의 관련 파일이 하위 폴더 안에 있어서, 먼저 그 폴더로 이동합니다.

make

생성된 빌드 설정을 바탕으로 실제 컴파일을 진행해 실행 파일을 만듭니다.

✅ 에러 없이 끝나면 성공입니다. 생성된 실행 파일을 직접 실행해보세요.

// repository documentation

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examples

파일 탐색기

# 설치 가이드

2. Docker

3. Node.js

4. Python

5. Make

오늘의 추천 프로젝트

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examples

파일 탐색기

# 설치 가이드

2. Docker

3. Node.js

4. Python

5. Make

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

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