PyTorch Fundamentals Learning Path

This is a preview repository for Microsoft Learn PyTorch Fundamentals learning path. It contains 4 modules:

1. Introduction to PyTorch
2. Introduction to Computer Vision with PyTorch
3. Introduction to Natural Language Processing with PyTorch
4. Audio Processing with PyTorch

This repository contains only Jupyter Notebooks - final Learn Module will feature some additional content, including knowledge checks.

Running the code

To run the code, you can use one of the following methods:

• Clone the repository and run the code locally. You would need a Python installation with Jupyter support. Install all the dependencies by doing pip install -r requirements.txt.
• Run the code in Binder by clicking below:
• Run the code in GitHub Codespaces. You would need to request early access and wait until it's granted, which may take some time.
• Open code in Google Colab

Note: Advanced modules on natural language processing are quire computationally intensive and will require GPU to work with comfortably.