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Neural Network Implementations in PyTorch

This repo contains pytorch implementations of various neural networks implemented from their respective white papers.

As more models are implemented the list will be updated.

Implemented Neural Networks

Model Category Paper
AlexNet Image Classification https://papers.nips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf
SENet Image Classification https://arxiv.org/abs/1709.01507
ResNet Image Classification https://arxiv.org/abs/1704.06904
ResNetC Image Classification https://arxiv.org/abs/1812.01187
MobileNetv1 Image Classification https://arxiv.org/abs/1704.04861
MobileNetv2 Image Classification https://arxiv.org/abs/1801.04381
ParNet Image Classification https://arxiv.org/pdf/2110.07641
GAN Image Generation https://arxiv.org/abs/1406.2661
DGAN Image Generation https://arxiv.org/abs/1511.06434
Pix2Pix-256x256 Image Generation https://arxiv.org/abs/1611.07004
Pix2Pix-512x512 Image Generation https://arxiv.org/abs/1611.07004
SRCNN Image Super-Resolution https://arxiv.org/abs/1501.00092
SRGAN Image Super-Resolution https://arxiv.org/abs/1609.04802
SRResNet Image Super-Resolution https://arxiv.org/abs/1609.04802

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Pytorch implementations of various neural networks

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