microsoft
/
AIReferenceArchitectures
зеркало из
1
0
Форкнуть 0
Код Задачи Пакеты Проекты Релизы Вики Активность

Merge pull request #3 from miguelgfierro/patch-1 

typo 📝
This commit is contained in:
Mat 2019-04-04 15:48:24 +01:00 коммит произвёл GitHub
Родитель ee7e16d531 f2691425a8
Коммит af6abb8706
Не найден ключ, соответствующий данной подписи
Идентификатор ключа GPG: 4AEE18F83AFDEB23
1 изменённых файлов: 1 добавлений и 1 удалений
Показать статистику Скачать Patch файл Скачать Diff файл Показать все файлы Свернуть все файлы

2
README.md
Просмотреть файл

@ -25,7 +25,7 @@ git clone --recursive https://github.com/Microsoft/AIReferenceArchitectures.git
| Tutorial | Environment | Description | Status |
|----------------------------------------------|-------------|-----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [Deploy Deep Learning Model on Kuberenetes](https://github.com/Microsoft/AKSDeploymentTutorialAML) | Python GPU | Deploy image classification model on Kubernetes for _real-time_ scoring | [![Build Status](https://dev.azure.com/customai/AKSDeploymentTutorialAML/_apis/build/status/Microsoft.AKSDeploymentTutorialAML?branchName=master)](https://dev.azure.com/customai/AKSDeploymentTutorialAML/_build/latest?definitionId=11&branchName=master) |
| [Deploy Classic ML Model on Kuberenetes](https://github.com/Microsoft/MLAKSDeployAML) | Python CPU | Deploy LightGBM model on Kubernetes for _real-time_ scoring | ![](https://dev.azure.com/customai/MLAKSDeployAMLPipeline/_apis/build/status/Microsoft.MLAKSDeployAML?branchName=master) |
| [Deploy Classic ML Model on Kubernetes](https://github.com/Microsoft/MLAKSDeployAML) | Python CPU | Deploy LightGBM model on Kubernetes for _real-time_ scoring | ![](https://dev.azure.com/customai/MLAKSDeployAMLPipeline/_apis/build/status/Microsoft.MLAKSDeployAML?branchName=master) |
| [Hyperparameter Tuning of Classical ML Models](https://github.com/Microsoft/MLHyperparameterTuning) | Python CPU | Run Hyperparameter tuning on LightGBM using Hyperdrive | ![](https://dev.azure.com/customai/MLHyperparameterTuningPipeline/_apis/build/status/Microsoft.MLHyperparameterTuning?branchName=master) |
| [Deploy Deep Learning Model on Pipelines](https://github.com/Azure/Batch-Scoring-Deep-Learning-Models-With-AML) | Python GPU | Deploy style transfer model for _batch_ scoring using Azure ML Pipelines | [![Build Status](https://dev.azure.com/customai/BatchScoringDeepLearningModelsWithAMLPipeline/_apis/build/status/Azure.Batch-Scoring-Deep-Learning-Models-With-AML?branchName=master)](https://dev.azure.com/customai/BatchScoringDeepLearningModelsWithAMLPipeline/_build/latest?definitionId=9&branchName=master) |
| [Deploy Classic ML Model on Pipelines](https://github.com/Microsoft/AMLBatchScoringPipeline) | Python CPU | Deploy one-class SVM for _batch_ scoring anomaly detection using Azure ML Pipelines | ![](https://dev.azure.com/customai/AMLBatchScoringPipeline/_apis/build/status/Microsoft.AMLBatchScoringPipeline?branchName=master) |