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ml-frameworks

Nov 1, 2024

8fc0fa0 · Nov 1, 2024

Name	Name	Last commit message	Last commit date
parent directory ..
fastai/fastai-with-custom-docker	fastai/fastai-with-custom-docker	update samples from Release-209 as a part of 1.56.0 SDK stable release	Apr 29, 2024
keras/train-hyperparameter-tune-deploy-with-keras	keras/train-hyperparameter-tune-deploy-with-keras	update samples from Release-209 as a part of 1.56.0 SDK stable release	Apr 29, 2024
pytorch	pytorch	update samples from Release-243 as a part of 1.58.0 SDK stable release	Oct 16, 2024
scikit-learn/train-hyperparameter-tune-deploy-with-sklearn	scikit-learn/train-hyperparameter-tune-deploy-with-sklearn	update samples from Release-240 as a part of 1.57.0 SDK stable release	Aug 5, 2024
tensorflow	tensorflow	Remove deprecated sample notebooks	Nov 1, 2024
using-mlflow	using-mlflow	update samples from Release-193 as a part of 1.53.0 SDK stable release	Aug 23, 2023
README.md	README.md	update samples from Release-130 as a part of SDK release	Mar 29, 2022

These sample notebooks show you how to train and deploy models with popular machine learning frameworks using Azure Machine Learning.

Scikit-learn: Train, hyperparameter tune and deploy scikit-learn models.
PyTorch: Train, hyperparameter tune and deploy PyTorch models. Distributed training with PyTorch.
TensorFlow: Train, hyperparameter tune and deploy TensorFlow models. Distributed training with TensorFlow.
Keras: Train, hyperparameter tune and deploy Keras models.
Chainer: Train, hyperparameter tune and deploy Chainer models. Distributed training with Chainer.
Fastai: Train, hyperparameter tune and deploy Fastai models.