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Azure Machine Learning Studio (classic) is retiring on 31 August 2024
**Deadline:** Aug 31, 2024
**Impacted Services:**
- Azure Machine Learning
**More information:**
- https://azure.microsoft.com/e…
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### Description
ONNX (Open Neural Network Exchange) provides cross-platform compatibility
An operator that can run inference using ONNX models, ideal for deploying machine learning models in a …
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### 1. Please describe why this term needs to be added
#### What this term is about? (briefly)
- Machine Learning Operations, referred to as MLOps is streamlining the process of putting machine …
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Submitting Author Name: Mauricio Pacha Vargas Sepulveda
Submitting Author Github Handle: @pachadotdev
Other Package Authors Github handles: (comma separated, delete if none) @litalbarkai
Reposi…
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### Description
I am trying to use Azure in conjunction with a vector database
According to [Microsoft's documentation,](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#exam…
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# Goal
As a machine learning developer, I want to embed automated methods for machine learning, so that I can run systematic processes on raw data and select relevant models for processing data.
As a…
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MLflow is an open-source platform for managing the end-to-end machine learning lifecycle.
- [x] Implement the component using Kustomize
- [x] Support Azure or S3-compatible storage as artifact/model…
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Add your +1 👍 to help us prioritize high-level constructs for this service
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### Overview:
Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scient…
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You state " Each node has a Kubelet, which is an agent for managing the node and communicating with the Kubernetes control plane."
You then state "A Kubernetes cluster that handles production traff…