ricardodeazambuja / BeeLinks
The Spiking Reservoir (Liquid State Machine - LSM) Simulator
☆58Updated last year
Alternatives and similar repositories for Bee
Users that are interested in Bee are comparing it to the libraries listed below
Sorting:
- Liquid State Machines in Python and NEST☆73Updated 4 years ago
- Long short-term memory Spiking Neural Networks☆103Updated 5 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- Some of my initial studies using spiking neural networks and Python☆37Updated 3 years ago
- ☆93Updated last year
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- Basic SNN propogating spikes between LIF neurons☆86Updated 7 years ago
- Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.☆66Updated 2 years ago
- ☆31Updated 7 months ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆269Updated 2 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆166Updated 6 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆51Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆326Updated last year
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆393Updated 3 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆62Updated 4 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated last year
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 8 years ago
- Supervised Spiking Network☆81Updated 3 years ago
- Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.☆381Updated 2 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 4 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆30Updated 3 years ago
- ☆42Updated 5 years ago
- Cosyne workshop tutorial 2022☆121Updated 2 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆42Updated 4 years ago
- Data encoders☆33Updated 4 years ago