Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update asset list #50

Merged
merged 5 commits into from
Sep 24, 2021
Merged

Update asset list #50

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
35f5f5c
Update asset list in main README.md
ckadner Sep 24, 2021
7f02c9c
Update asset list in dataset-samples/README.md
ckadner Sep 24, 2021
5ab86df
Update asset list in notebook-samples/README.md
ckadner Sep 24, 2021
0fde9d8
Update asset list in pipeline-samples/README.md
ckadner Sep 24, 2021
45cb859
Update asset list in model-samples/README.md
ckadner Sep 24, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
73 changes: 43 additions & 30 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,47 +1,60 @@
# MLX Katalog

MLX Katalog is a project to hold the default content to bootstrap Machine Learning Exchange.
MLX _Katalog_ is a project to hold the default content to bootstrap the _Machine Learning Exchange_.

# List of Default Katalog Assets
# List of Default Catalog Assets

## Pipelines
* [Trusted AI Pipeline with AI Fairness 360 and Adversarial Robustness 360 components](https://github.com/kubeflow/kfp-tekton/tree/master/samples/trusted-ai)
* [Trusted AI Pipeline with AI Fairness 360 and Adversarial Robustness 360 Components](https://github.com/kubeflow/kfp-tekton/tree/master/samples/trusted-ai)
* [Training and Serving Models with Watson Machine Learning](https://github.com/kubeflow/kfp-tekton/tree/master/samples/watson-train-serve#training-and-serving-models-with-watson-machine-learning)
* [Lightweight python components example](https://github.com/kubeflow/kfp-tekton/tree/master/samples/lightweight-component)
* [The flip-coin pipeline](https://github.com/kubeflow/kfp-tekton/tree/master/samples/flip-coin)
* [Hyperparameter tuning using Katib](https://github.com/kubeflow/kfp-tekton/tree/master/samples/katib)
* [Nested pipeline example](https://github.com/kubeflow/kfp-tekton/tree/master/samples/nested-pipeline)
* [Pipeline with Nested loops](https://github.com/kubeflow/kfp-tekton/tree/master/samples/nested-loops)
* [Lightweight Python Component Example](https://github.com/kubeflow/kfp-tekton/tree/master/samples/lightweight-component)
* [The Flip-Coin Pipeline](https://github.com/kubeflow/kfp-tekton/tree/master/samples/flip-coin)
* [Hyperparameter Tuning using Katib](https://github.com/kubeflow/kfp-tekton/tree/master/samples/katib)
* [Nested Pipeline Example](https://github.com/kubeflow/kfp-tekton/tree/master/samples/nested-pipeline)
* [Pipeline with Nested Loops](https://github.com/kubeflow/kfp-tekton/tree/master/samples/nested-loops)

## Pipeline Components
* [Generate Dataset Metadata](component-samples/dax-to-dlf/component.yaml)
* [Create Dataset Volume](component-samples/dlf/component.yaml)
* [Echo Sample](component-samples/echo/component.yaml)
* [Create Secret - Kubernetes Cluster](component-samples/create-secret/component.yaml)
* [Create Kubernetes Secret](component-samples/create-secret/component.yaml)
* [Kubernetes Model Deploy](component-samples/kube-model-deployment/component.yaml)
* [Create Model Config](component-samples/model-config/component.yaml)
* [Model Fairness Check](https://github.com/Trusted-AI/AIF360/blob/master/mlops/kubeflow/bias_detector_pytorch/component.yaml)
* [Adversarial Robustness Evaluation](https://github.com/Trusted-AI/adversarial-robustness-toolbox/blob/main/utils/mlops/kubeflow/robustness_evaluation_fgsm_pytorch/component.yaml)

## Models
* [Human Pose Estimator](model-samples/max-human-pose-estimator.yaml)
* [Image Caption Generator](model-samples/max-image-caption-generator.yaml)
* [Image Resolution Enhancer](model-samples/max-image-resolution-enhancer.yaml)
* [Object Detector](model-samples/max-object-detector.yaml)
* [Optical Character Recognition](model-samples/max-ocr.yaml)
* [Question Answering](model-samples/max-question-answering.yaml)
* [Recommender System](model-samples/max-recommender.yaml)
* [Text Sentiment Classifier](model-samples/max-text-sentiment-classifier.yaml)
* [Toxic Comment Classifier](model-samples/max-toxic-comment-classifier.yaml)
* [Weather Forecaster](model-samples/max-weather-forecaster.yaml)
* [CodeNet Language Classifier](model-samples/codenet-language-classification/codenet-language-classification.yaml)
* [Human Pose Estimator](model-samples/max-human-pose-estimator/max-human-pose-estimator.yaml)
* [Image Caption Generator](model-samples/max-image-caption-generator/max-image-caption-generator.yaml)
* [Image Resolution Enhancer](model-samples/max-image-resolution-enhancer/max-image-resolution-enhancer.yaml)
* [Named Entity Tagger](model-samples/max-named-entity-tagger/max-named-entity-tagger.yaml)
* [Object Detector](model-samples/max-object-detector/max-object-detector.yaml)
* [Optical Character Recognition](model-samples/max-ocr/max-ocr.yaml)
* [Question Answering](model-samples/max-question-answering/max-question-answering.yaml)
* [Recommender System](model-samples/max-recommender/max-recommender.yaml)
* [Text Sentiment Classifier](model-samples/max-text-sentiment-classifier/max-text-sentiment-classifier.yaml)
* [Toxic Comment Classifier](model-samples/max-toxic-comment-classifier/max-toxic-comment-classifier.yaml)
* [Weather Forecaster](model-samples/max-weather-forecaster/max-weather-forecaster.yaml)

## Datasets
* [Finance Proposition Bank](dataset-samples/fpb.yaml)
* [Groningen Meaning Bank - Modified](dataset-samples/gmb.yaml)
* [NOAA Weather Data - JFK Airport](dataset-samples/jfk.yaml)
* [PubLayNet](dataset-samples/publaynet.yaml)
* [PubTabNet](dataset-samples/pubtabnet.yaml)
* [IBM Debater® Thematic Clustering of Sentences](dataset-samples/thematic_clustering.yaml)
* [TensorFlow Speech Commands](dataset-samples/tsc.yaml)
* [CodeNet](dataset-samples/codenet/codenet.yaml)
* [CodeNet Language Classification](dataset-samples/codenet_langclass/codenet_langclass.yaml)
* [CodeNet MLM](dataset-samples/codenet_mlm/codenet_mlm.yaml)
* [Finance Proposition Bank](dataset-samples/fpb/fpb.yaml)
* [Groningen Meaning Bank](dataset-samples/gmb/gmb.yaml)
* [NOAA Weather Data - JFK Airport](dataset-samples/jfk/jfk.yaml)
* [PubLayNet](dataset-samples/publaynet/publaynet.yaml)
* [PubTabNet](dataset-samples/pubtabnet/pubtabnet.yaml)
* [Thematic Clustering of Sentences](dataset-samples/thematic_clustering/thematic_clustering.yaml)
* [TensorFlow Speech Commands](dataset-samples/tsc/tsc.yaml)

## Notebooks
* [AIF360 Bias detection example](notebook-samples/aif-bias.yaml)
* [ART detector model](notebook-samples/art-detector.yaml)
* [ART poisoning attack](notebook-samples/art-poison.yaml)
* [jfk-airport-analysis](notebook-samples/JFK-airport.yaml)
* [AIF360 Bias Detection](notebook-samples/aif-bias.yaml)
* [ART Detector Model](notebook-samples/art-detector.yaml)
* [ART Poisoning Attack](notebook-samples/art-poison.yaml)
* [CodeNet Laguage Classification](notebook-samples/codenet-lang.yaml)
* [CodeNet MLM](notebook-samples/codenet-mlm.yaml)
* [JFK Airport Weather Analysis](notebook-samples/JFK-airport.yaml)
* [Qiskit Quantum Machine Learning](notebook-samples/qiskit-ml.yaml)
* [Qiskit Neural Network Classifier and Regressor](notebook-samples/qiskit-nncr.yaml)
18 changes: 11 additions & 7 deletions dataset-samples/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -126,10 +126,14 @@ related_assets:
```

## List of Sample Datasets
* [Finance Proposition Bank](fpb.yaml)
* [Groningen Meaning Bank - Modified](gmb.yaml)
* [NOAA Weather Data - JFK Airport](jfk.yaml)
* [PubLayNet](publaynet.yaml)
* [PubTabNet](pubtabnet.yaml)
* [IBM Debater® Thematic Clustering of Sentences](thematic_clustering.yaml)
* [TensorFlow Speech Commands](tsc.yaml)

* [CodeNet](codenet/codenet.yaml)
* [CodeNet Language Classification](codenet_langclass/codenet_langclass.yaml)
* [CodeNet MLM](codenet_mlm/codenet_mlm.yaml)
* [Finance Proposition Bank](fpb/fpb.yaml)
* [Groningen Meaning Bank](gmb/gmb.yaml)
* [NOAA Weather Data - JFK Airport](jfk/jfk.yaml)
* [PubLayNet](publaynet/publaynet.yaml)
* [PubTabNet](pubtabnet/pubtabnet.yaml)
* [Thematic Clustering of Sentences](thematic_clustering/thematic_clustering.yaml)
* [TensorFlow Speech Commands](tsc/tsc.yaml)
23 changes: 13 additions & 10 deletions model-samples/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -111,13 +111,16 @@ Models can be run based on the metadata specified in the YAML file for a particu


## List of Sample Models
* [Human Pose Estimator](max-human-pose-estimator.yaml)
* [Image Caption Generator](max-image-caption-generator.yaml)
* [Image Resolution Enhancer](max-image-resolution-enhancer.yaml)
* [Object Detector](max-object-detector.yaml)
* [Optical Character Recognition](max-ocr.yaml)
* [Question Answering](max-question-answering.yaml)
* [Recommender System](max-recommender.yaml)
* [Text Sentiment Classifier](max-text-sentiment-classifier.yaml)
* [Toxic Comment Classifier](max-toxic-comment-classifier.yaml)
* [Weather Forecaster](max-weather-forecaster.yaml)

* [CodeNet Language Classifier](codenet-language-classification/codenet-language-classification.yaml)
* [Human Pose Estimator](max-human-pose-estimator/max-human-pose-estimator.yaml)
* [Image Caption Generator](max-image-caption-generator/max-image-caption-generator.yaml)
* [Image Resolution Enhancer](max-image-resolution-enhancer/max-image-resolution-enhancer.yaml)
* [Named Entity Tagger](max-named-entity-tagger/max-named-entity-tagger.yaml)
* [Object Detector](max-object-detector/max-object-detector.yaml)
* [Optical Character Recognition](max-ocr/max-ocr.yaml)
* [Question Answering](max-question-answering/max-question-answering.yaml)
* [Recommender System](max-recommender/max-recommender.yaml)
* [Text Sentiment Classifier](max-text-sentiment-classifier/max-text-sentiment-classifier.yaml)
* [Toxic Comment Classifier](max-toxic-comment-classifier/max-toxic-comment-classifier.yaml)
* [Weather Forecaster](max-weather-forecaster/max-weather-forecaster.yaml)
13 changes: 9 additions & 4 deletions notebook-samples/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,12 @@ The [src](src) directory is for hosting some Notebook example source files on Gi
4. Enter a name for the notebook; Otherwise a default will be given

## List of Sample Notebooks
* [AIF360 Bias detection example](aif-bias.yaml)
* [ART detector model](art-detector.yaml)
* [ART poisoning attack](art-poison.yaml)
* [jfk-airport-analysis](JFK-airport.yaml)

* [AIF360 Bias Detection](aif-bias.yaml)
* [ART Detector Model](art-detector.yaml)
* [ART Poisoning Attack](art-poison.yaml)
* [CodeNet Laguage Classification](codenet-lang.yaml)
* [CodeNet MLM](codenet-mlm.yaml)
* [JFK Airport Weather Analysis](JFK-airport.yaml)
* [Qiskit Quantum Machine Learning](qiskit-ml.yaml)
* [Qiskit Neural Network Classifier and Regressor](qiskit-nncr.yaml)
12 changes: 6 additions & 6 deletions pipeline-samples/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -39,10 +39,10 @@ For an in-depth guide to creating pipelines with Kubeflow, take a look at their


## List of Sample Pipelines
* [Trusted AI Pipeline with AI Fairness 360 and Adversarial Robustness 360 components](https://github.com/kubeflow/kfp-tekton/tree/master/samples/trusted-ai)
* [Trusted AI Pipeline with AI Fairness 360 and Adversarial Robustness 360 Components](https://github.com/kubeflow/kfp-tekton/tree/master/samples/trusted-ai)
* [Training and Serving Models with Watson Machine Learning](https://github.com/kubeflow/kfp-tekton/tree/master/samples/watson-train-serve#training-and-serving-models-with-watson-machine-learning)
* [Lightweight python components example](https://github.com/kubeflow/kfp-tekton/tree/master/samples/lightweight-component)
* [The flip-coin pipeline](https://github.com/kubeflow/kfp-tekton/tree/master/samples/flip-coin)
* [Hyperparameter tuning using Katib](https://github.com/kubeflow/kfp-tekton/tree/master/samples/katib)
* [Nested pipeline example](https://github.com/kubeflow/kfp-tekton/tree/master/samples/nested-pipeline)
* [Pipeline with Nested loops](https://github.com/kubeflow/kfp-tekton/tree/master/samples/nested-loops)
* [Lightweight Python Component Example](https://github.com/kubeflow/kfp-tekton/tree/master/samples/lightweight-component)
* [The Flip-Coin Pipeline](https://github.com/kubeflow/kfp-tekton/tree/master/samples/flip-coin)
* [Hyperparameter Tuning using Katib](https://github.com/kubeflow/kfp-tekton/tree/master/samples/katib)
* [Nested Pipeline Example](https://github.com/kubeflow/kfp-tekton/tree/master/samples/nested-pipeline)
* [Pipeline with Nested Loops](https://github.com/kubeflow/kfp-tekton/tree/master/samples/nested-loops)