Update README.md

zshanwei · Feb 2, 2016 · 6cb0a09 · 6cb0a09
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@@ -59,4 +59,5 @@ If you use these models in your research, please cite:
 
 Deep residual networks are very easy to implement and train. We recommend to see also the following third-party re-implementations and extensions:
 
-0. https://github.com/gcr/torch-residual-networks
+0. Torch, CIFAR-10, with ResNet-20 to ResNet-110: https://github.com/gcr/torch-residual-networks
+0. Lasagne, CIFAR-10, with ResNet-32 and ResNet-56: https://github.com/Lasagne/Recipes/tree/master/papers/deep_residual_learning