Looks like Lasagne (<a href="https:&#x2F;&#x2F;github.com&#x2F;alrojo&#x2F;lasagne_residual_network" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;alrojo&#x2F;lasagne_residual_network</a>) and a stab at Keras&#x2F;Theano (<a href="https:&#x2F;&#x2F;github.com&#x2F;ndronen&#x2F;modeling&#x2F;blob&#x2F;master&#x2F;modeling&#x2F;residual.py" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ndronen&#x2F;modeling&#x2F;blob&#x2F;master&#x2F;modeling&#x2F;res...</a>). At a guess, we&#x27;ll see more implementations pop up in coming months as researchers and grad students recover from NIPS and begin pondering how they could use residual learning.