8fc0fa040d | ||
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.. | ||
fastai/fastai-with-custom-docker | ||
keras/train-hyperparameter-tune-deploy-with-keras | ||
pytorch | ||
scikit-learn/train-hyperparameter-tune-deploy-with-sklearn | ||
tensorflow | ||
using-mlflow | ||
README.md |
README.md
Training and deployment examples with ML frameworks
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.