Computer Vision Models from Scratch with Pytorch

It works by creating Residual BasicBlock and then adding a bunch of them sequentially with the _make_layer() function nn.Sequential(*layers) to create more specific implementations like Resnet18 or Resnet101

It's another great example of using built in library functions like maxpool, avgpool and conv2d to create complex net architectures