MachineLearningNotebooks/how-to-use-azureml/ml-frameworks at master · codexponent/MachineLearningNotebooks

Name		Name	Last commit message	Last commit date
parent directory ..
chainer		chainer
fastai/fastai-with-custom-docker		fastai/fastai-with-custom-docker
keras/train-hyperparameter-tune-deploy-with-keras		keras/train-hyperparameter-tune-deploy-with-keras
pytorch		pytorch
scikit-learn/train-hyperparameter-tune-deploy-with-sklearn		scikit-learn/train-hyperparameter-tune-deploy-with-sklearn
tensorflow		tensorflow
using-mlflow		using-mlflow
README.md		README.md

README.md

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.