Cambridge-ICCS/practical-ml-with-pytorch
Training material on writing machine learning code with PyTorch by ICCS
This project provides comprehensive training materials to help you learn how to build machine learning models using PyTorch. You'll go from understanding basic concepts to creating functional models for tasks like classification and regression, working with both tabular and image data. This is ideal for researchers, scientists, or anyone in an analytical role who needs to develop practical ML applications.
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Use this if you have a basic understanding of Python and want to learn how to develop machine learning models and pipelines with PyTorch, covering both artificial and convolutional neural networks.
Not ideal if you are looking for a plug-and-play tool for specific data analysis tasks rather than a deep dive into building ML models from scratch.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 11, 2025
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