Ah. I'd look at keras examples - they have alexnet and VGG right now. Although, an exact implementation may be hard to find - the best you can do is an "alexnet~ish" implementation keeping some keras graph limitations on convs.

I haven't run any in a while so I don't have the data myself, unfortunately.

Great work btw.

What was the motivation to build leaf?

Oh actually: https://github.com/uoguelph-mlrg/theano_alexnet and

VGG: https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3

For Googlenet, sadly not yet: https://github.com/fchollet/keras/issues/302

I'd also try some non conv, RNN/LSTM stuff btw. Those are of special interest to me, but also, keras has some great models there.