L0SG / feedback-alignment-pytorch
Implementation of feedback alignment learning in PyTorch
☆29Updated last year
Alternatives and similar repositories for feedback-alignment-pytorch:
Users that are interested in feedback-alignment-pytorch are comparing it to the libraries listed below
- Experiments with Direct Feedback Alignment training scheme for DNNs☆31Updated 7 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆13Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆30Updated 2 months ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆64Updated 3 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated 8 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated 10 months ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆47Updated 10 months ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆22Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago
- ☆27Updated 5 years ago
- ☆89Updated 10 months ago
- ☆70Updated 11 months ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆37Updated 3 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆23Updated this week
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆31Updated 5 years ago
- ☆28Updated last year
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 6 years ago
- ☆43Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆98Updated 4 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆61Updated last week
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆86Updated 2 years ago
- ☆12Updated 3 years ago
- To identify features by aggregate-label learning in spiking neurons☆13Updated 6 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆80Updated 10 months ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆59Updated 4 years ago
- Neurons learn by predicting future activity☆27Updated 3 years ago
- Brian 2 frontend to the GeNN simulator☆46Updated 4 months ago