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* Update asset list in main README.md Resolves: #49 Closes: machine-learning-exchange/mlx#201 Closes: machine-learning-exchange/mlx#218 Signed-off-by: Christian Kadner <[email protected]> * Update asset list in dataset-samples/README.md Signed-off-by: Christian Kadner <[email protected]> * Update asset list in notebook-samples/README.md Signed-off-by: Christian Kadner <[email protected]> * Update asset list in pipeline-samples/README.md Signed-off-by: Christian Kadner <[email protected]> * Update asset list in model-samples/README.md Signed-off-by: Christian Kadner <[email protected]>
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| # MLX Katalog | ||
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| 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_. | ||
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| # List of Default Katalog Assets | ||
| # List of Default Catalog Assets | ||
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| ## 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) | ||
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| ## 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) | ||
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| ## 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) | ||
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| ## 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) | ||
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| ## 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) |
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