The free labor argument isn't particularly compelling in this case. Academic researchers focus on publishing their results in papers, and published neural network architectures are comparatively trivial to port between software platforms.

Even when code is published, it's a few hours work to copy a (say) Torch based architecture to TensorFlow - indeed most platforms import (and export?) Caffe-style (ProtoBuf based) model descriptions.