anshumantekriwal/papers
Revolutionary Deep Learning Models - All Implemented In PyTorch
This project helps machine learning researchers and students understand and implement foundational deep learning models. It provides fully coded examples of classic architectures like LeNet, VGG, and ResNet. Users can examine how these models process image data to produce classifications or generate new images, offering practical insight into their design and function.
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Use this if you are studying deep learning models and need readily available, working code implementations to deepen your understanding.
Not ideal if you are looking for production-ready, highly optimized deep learning solutions or advanced, cutting-edge research models.
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MIT
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Oct 10, 2022
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