MachineLearningNotebooks
azureml-examples
| MachineLearningNotebooks | azureml-examples | |
|---|---|---|
| 2 | 4 | |
| 3,958 | 1,573 | |
| 0.7% | 3.1% | |
| 5.6 | 9.6 | |
| 6 days ago | 3 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MachineLearningNotebooks
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Multiple model loading on a Online Fully managed endpoint
I found an example using the python SDK v2:
- I Took The Azure DP-100 exam today and passed it
azureml-examples
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How to deploy ML models on Azure Kubernetes Service (AKS)
If you need a reference on how these files should look, you can get a dummy model, env and scoring script here. Optionally, you can also check out my GitHub for the code used to deploy via the Python SDK v2.
- Best way to run my Python project on Azure
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How to get around "package ‘AzureML’ is not available (for R version 4.0.2) "
It seems like there's a new paradigm for R on Azure that uses Docker and job.yml to tell R how to execute your "vanilla" R code without the need for a package. There are examples here: https://github.com/Azure/azureml-examples/tree/0849cbe797d1d524df9fe9d43ac8b36e75ea34ab/cli/jobs/train/r
- Machine learning in Azure
What are some alternatives?
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
pycaret - An open-source, low-code machine learning library in Python
mlops-v2 - Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
nlpaug - Data augmentation for NLP
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
MLOps - MLOps examples
Understanding_the_EM_Algorithm - Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
pedestrian-intent-prediction - Repository for master thesis at the Chalmers University of Technology