spiking-bayesian-networks

snn-tha

Threshold annealing in binarized spiking neural networks

Spike-Element-Wise-ResNet

Deep Residual Learning in Spiking Neural Networks

SciPy2015

Talk for SciPy2015 "Deep Learning: Tips From The Road"

Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

pyglm

Interpretable neural spike train models with fully-Bayesian inference algorithms

Parallel-Spiking-Neuron

synchrony

Spiky networks

neural_network_tutorials

A repository demonstrating concise, educational machine learning implementations in python

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in Py...

pyhawkes

Python framework for inference in Hawkes processes.

QSNNs

Quantization-aware training with spiking neural networks