DSKSD/Pytorch_models
PyTorch study
This collection of PyTorch code examples helps deep learning practitioners understand and implement various machine learning models from scratch. It provides runnable code for popular architectures in Natural Language Processing, Generative Models, and Reinforcement Learning. Deep learning engineers, researchers, and students who want to solidify their understanding by building models would find this useful.
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Use this if you are a deep learning engineer or researcher looking for practical PyTorch implementations of various models to learn from or adapt.
Not ideal if you are a business user looking for a ready-to-use application or a developer seeking a high-level library to integrate into an existing system.
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Oct 16, 2017
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