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If you are interested in deep learning with spiking neural networks there is also the norse framework: https://github.com/electronicvisions/norse
I'm not very familiar with deep learning. How does this compare to the biomimicking Spike Time Dependent Plasticity of spiking neural networks?
https://github.com/Shikhargupta/Spiking-Neural-Network#train...
Deep Learning has nothing to do with biophysical neuron simulation, even though there is a confusing overloading of the term "neural network". A good introduction to deep learning is this chapter: https://mlstory.org/deep.html.
STDP falls under biophysical models of neuron simulation, where we try to faithfully reproduce biophysics of brain simulation (trivia: I started my undergrad in computational neuroscience and implemented STDP several times [1, 2, 3]). STDP is a learning mechanism, but it has not demonstrated the ability to learn as powerful models as DNN.
[1] https://github.com/ericjang/pyN
[2] https://github.com/ericjang/julia-NeuralNets
[3] https://github.com/ericjang/NeuralNets
That repo is slightly outdated, development now continues at https://github.com/norse/norse.