From a7ef18dc31eacb0c671921b2aac65cf820c6bc9e Mon Sep 17 00:00:00 2001 From: konabuta Date: Fri, 5 Nov 2021 15:36:16 +0000 Subject: [PATCH 1/2] add feast --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 60ce99a..2ab6688 100644 --- a/README.md +++ b/README.md @@ -199,6 +199,9 @@ Microsoft contributing libraries, tools, recipes, sample codes and workshop cont - [Platform for Situated Intelligence](https://github.com/Microsoft/psi) - an open-source framework for multimodal, integrative AI. - [Qlib](https://github.com/microsoft/qlib) - an AI-oriented quantitative investment platform. +### Feature Engineering +- [Feast on Azure](https://github.com/Azure/feast-azure) - Azure plugins for Feast (FEAture STore). + ### Tagging - [TagAnomaly](https://github.com/microsoft/TagAnomaly) - Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category) - [VoTT](https://github.com/microsoft/VoTT) - Visual object tagging tool From 7e4432d4bba51b4161dddc981986d3b565279564 Mon Sep 17 00:00:00 2001 From: konabuta Date: Sat, 6 Nov 2021 01:06:13 +0000 Subject: [PATCH 2/2] add azureml samples --- README.md | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 2ab6688..960bfd0 100644 --- a/README.md +++ b/README.md @@ -236,7 +236,7 @@ Microsoft contributing libraries, tools, recipes, sample codes and workshop cont - [Computer Vision Recipes](https://github.com/microsoft/computervision-recipes) - best practices, code samples, and documentation for Computer Vision. -- [AzureML Designer Sample](https://github.com/Azure/MachineLearningDesigner) - samples of Azure Machine Learning designer. + - [DeepSpeed Examples](https://github.com/microsoft/DeepSpeedExamples) - Example models using DeepSpeed @@ -244,6 +244,18 @@ Microsoft contributing libraries, tools, recipes, sample codes and workshop cont - [Microsoft Health Intelligence Machine Learning Toolbox](https://github.com/microsoft/hi-ml) - Microsoft Health Intelligence Azure Machine Learning Toolbox. +- [Azure Machine Learning examples](https://github.com/Azure/azureml-examples) - official community-driven Azure Machine Learning examples, tested with GitHub Actions. + +- [Azure Machine Learning R Template](https://github.com/microsoft/AzureML-R-template) - patterns and examples for running R code with Azure Machine Learning. + +- [Azure Machine Learning Python SDK notebooks](https://github.com/Azure/MachineLearningNotebooks) - python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK. + +- [Azure Machine Learning Gallery](https://github.com/Azure/AzureMachineLearningGallery) - this repo enables our growing community of developers and data scientists to share their machine learning pipelines, components, etc. to accelerate productivity in the machine learning lifecycle. + +- [Azure Machine Learning previews](https://github.com/Azure/azureml-previews) - samples for preview features in Azure Machine Learning. + +- [AzureML Designer Sample](https://github.com/Azure/MachineLearningDesigner) - samples of Azure Machine Learning designer. + - Microsoft Solution Accelerators - [MLOps Solution Accelerator](https://github.com/microsoft/dstoolkit-mlops-base) - this repository helps ML teams to accelerate their model deployment to production leveraging Azure. - [Anomaly Detection Solution Accelerator](https://github.com/microsoft/dstoolkit-anomaly-detection-ijungle) - implement Anomaly Detection which is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations.