dayyass/pytorch-tutorials
Different Deep Learning tasks solved using PyTorch models.
This project provides practical examples for common deep learning problems in computer vision and natural language processing. It takes datasets of images or text and shows how to build models that can classify, describe, or translate them. It is useful for machine learning practitioners and researchers who want to see how various deep learning tasks are implemented using PyTorch.
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Use this if you are a machine learning engineer or researcher looking for concrete, working examples of deep learning models for tasks like image classification, style transfer, text classification, or machine translation using PyTorch.
Not ideal if you are looking for a high-level API or a no-code solution to apply deep learning models without understanding their underlying implementation.
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Language
Python
License
MIT
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Last pushed
Aug 31, 2022
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