bfortuner/pytorch-cheatsheet
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This is a quick reference for common PyTorch operations and patterns, helping you recall syntax for building neural networks. It provides code snippets for tasks like data loading, model definition, training loops, and evaluation, designed for machine learning practitioners. If you're working with PyTorch and need a reminder on how to implement specific functionalities, this cheatsheet offers readily available examples.
301 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer, researcher, or data scientist who needs a concise guide to refresh your memory on PyTorch code for deep learning workflows.
Not ideal if you are looking for an in-depth tutorial or comprehensive documentation on PyTorch's capabilities.
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301
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104
Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 23, 2017
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