iacolippo / Direct-Feedback-AlignmentLinks
Experiments with Direct Feedback Alignment training scheme for DNNs
☆32Updated 8 years ago
Alternatives and similar repositories for Direct-Feedback-Alignment
Users that are interested in Direct-Feedback-Alignment are comparing it to the libraries listed below
Sorting:
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆65Updated 4 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- ☆12Updated 4 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 4 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆229Updated last year
- ☆142Updated 4 years ago
- ☆93Updated last year
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 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
- High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.☆390Updated 3 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆325Updated last year
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- ☆45Updated 3 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆39Updated 2 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆51Updated last year
- ☆81Updated last year
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated last year
- A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.☆48Updated 5 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- ☆31Updated 7 months ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆22Updated 6 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆58Updated last year
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 3 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
- ☆42Updated 5 years ago