hdufang Goto Github PK
Type: User
Company: Hangzhou Dianzi University
Bio: major in CS, now interested in deep learning, spiking neural networks, bioinfomatics, etc.
Location: Hangzhou, China
hdufang's Projects
ann-snn-object-recognition
Event-based object recognition using analog and spiking neural networks
basnn
Binary-Activation Spiking Neural Networks
bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
bindsnet_experiments
Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.
brian
Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer developed, for new projects consider using Brian2 instead.
brian2
Brian is a free, open source simulator for spiking neural networks.
brian2snnpokerhandlearning
Spiking Neural Network in Brian 2 to Learn Poker Hands
deeplearningtutorial
李宏毅，一天搞懂深度学习，中文翻译
ecd
Event-Driven CD in Spiking Neural Networks
forecasting-lstm-wta
Combines the variational inference winner-take-all spiking neural network model (VIWTA SNN) with a standard vanilla LSTM built using the Keras Python package to predict time series steps and sequences.
iris_snn
Feedforward spiking neural network has been trained with SpikeProp algorithm
lm-snn
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
musical-pattern-recognition-in-spiking-neural-networks
Differentiate notes using a spiking neural network
net
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
neuralnetwork
Spiking Neural Network to identify spoken letters
ntu-machine-learning
**大学李宏毅老师机器学习
number_crunch
University Final Year Project: High-performance computing with SpiNNaker (spiking neural network architecture)
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
segregated-dendrite-deep-learning
Deep learning in a spiking neural network using segregated dendrites.
snn-experiments
Some of my initial studies using spiking neural networks and Python
snn-seizure-prediction
Predict seizures from EEGs using two models of spiking neural networks
snn_object_recognition
One-Shot Object Appearance Learning using Spiking Neural Networks
snn_toolbox
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
snnformnist
A Spiking Neural Network Architecture for MNIST Digit Recognition
snnsimulatorcomparison
Comparison of Spiking Neural Network Simulator Performance
spike-response-model
Feedforward multilayer spiking neural network with SRM0 model. Gaussian receptive field has been used for information encoding
spike_rcnn
Spike Detection based on Region-based Convolutional Neural Network
spikeflow
Python library for easy creation and running of spiking neural networks in tensorflow.
spiketorch
Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/Hananel-Hazan/bindsnet for the successor to this project.
spiking-cnn
Spiking Convolutional Neural Networks
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