Azure/MachineLearningNotebooks
Azure/MachineLearningNotebooks has 4,443 GitHub stars and 2,568 forks. GitHot measured +1 stars in 24 hours, -1 in 7 days, and +2 in 15 days. Last checked 2026-11-12 09:43 UTC. Last push 2025-03-14.
Notebooks de Python con ejemplos de aprendizaje automático y aprendizaje profundo usando Azure Machine Learning Python SDK | Microsoft
Crecimiento de estrellas medido
- in 24h
- +1
- in 7 days
- -1
- in 15 days
- +2
- in 1 month
- Actualización retrasada
Cambios netos en períodos que se solapan, no totales diarios. Los datos no disponibles se dejan en blanco. Las estrellas indican interés, no calidad.
README.md
OriginalAzure Machine Learning Python SDK notebooks
With the introduction of AzureML SDK v2, this samples repository for the v1 SDK is now deprecated and will not be monitored or updated. Users are encouraged to visit the v2 SDK samples repository instead for up-to-date and enhanced examples of how to build, train, and deploy machine learning models with AzureML's newest features.
Welcome to the Azure Machine Learning Python SDK notebooks repository!
Getting started
These notebooks are recommended for use in an Azure Machine Learning Compute Instance, where you can run them without any additional set up.
However, the notebooks can be run in any development environment with the correct azureml packages installed.
Install the azureml.core Python package:
pip install azureml-core
Install additional packages as needed:
pip install azureml-mlflow
pip install azureml-dataset-runtime
pip install azureml-automl-runtime
pip install azureml-pipeline
pip install azureml-pipeline-steps
...
We recommend starting with one of the quickstarts.
Contributing
This repository is a push-only mirror. Pull requests are ignored.
Code of Conduct
This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.
Reference
Explorar proyectos relacionados
tensorflow/tensorflow
Un framework de código abierto de aprendizaje automático para todos
201,584 estrellashuggingface/transformers
🤗 Transformers: el framework de definición de modelos para modelos de aprendizaje automático de vanguardia en texto, visión, audio y multimodal, tanto para inferencia como para entrenamiento.
168,917 estrellasAUTOMATIC1111/stable-diffusion-webui
Interfaz web de Stable Diffusion
165,300 estrellasComfy-Org/ComfyUI
La GUI, la API y el backend más potentes y modulares para modelos de difusión, con una interfaz de grafos y nodos. El motor de inferencia local más rápido del mundo.
146,472 estrellas