gitE0Z9/pytorch-implementations
Deep learning models implemented in PyTorch
This project offers deep learning model implementations in PyTorch, focusing on common algorithms like K-Means and various image classification architectures. It takes raw data or images as input and provides trained models or classification results as output. Researchers and students in machine learning or deep learning looking to understand how these models work would find this useful.
Use this if you are a machine learning researcher or student who wants to learn and understand the internals of various deep learning models through practical PyTorch implementations and accompanying educational articles.
Not ideal if you need production-ready, highly optimized libraries for deploying deep learning models in real-world applications.
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9
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Jupyter Notebook
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Last pushed
Mar 27, 2026
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