Ecosyste.ms: Repos
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GitHub topics: genn
shb84/JENN
Jacobian-Enhanced Neural Networks (JENN) are fully connected multi-layer perceptrons, whose training process was modified to account for gradient information. Specifically, the parameters are learned by minimizing the Least Squares Estimator (LSE), modified to minimize prediction error of both response values and partial derivatives.
Language: Jupyter Notebook - Size: 32.8 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 6 - Forks: 3
genn-team/ml_genn
A library for deep learning with Spiking Neural Networks (SNN).
Language: Python - Size: 36.6 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 19 - Forks: 5
brian-team/brian2genn
Brian 2 frontend to the GeNN simulator
Language: Python - Size: 5.33 MB - Last synced: about 3 hours ago - Pushed: 10 months ago - Stars: 46 - Forks: 16
ajaysub110/mnist-pygenn
Implementation of the paper 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity' by Peter Diehl and Matthew Cook, using the PyGeNN (Python interface of GeNN) SNN framework
Language: C++ - Size: 27.5 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 8 - Forks: 0
