Try HPE Machine Learning Development Environment¶

Learn the basics of working with HPE Machine Learning Development Environment and how to port your existing code to the HPE Machine Learning Development Environment environment.

Quickstart¶

To get started with your first experiment, visit the Quickstart for Model Developers.

Get Started with a Trial API¶

Title	Description
PyTorch MNIST Tutorial	Based on the PyTorch MNIST example, this tutorial shows you how to port a simple image classification model for the MNIST dataset.
PyTorch Porting Tutorial	The PyTorch porting tutorial provides helpful hints to successfully integrate PyTorch code with the HPE Machine Learning Development Environment PyTorchTrial API.
TensorFlow Keras Fashion MNIST Tutorial	The TensorFlow Keras Fashion MNIST tutorial describes how to port a `tf.keras` model to HPE Machine Learning Development Environment.

Want to Learn About a Specific Training API?¶

Training API Guides describe how to take your existing model code and train your model in HPE Machine Learning Development Environment.

Looking for Examples?¶

Examples let you build off of an existing model that already runs on HPE Machine Learning Development Environment. Visit our Examples to see if the model you’d like to train is already available.