bcrafton / ssdfaLinks
Github page for SSDFA
☆11Updated 5 years ago
Alternatives and similar repositories for ssdfa
Users that are interested in ssdfa 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…☆66Updated 4 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- ☆28Updated 6 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 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
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12Updated 6 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Deep Learning without Weight Transport☆36Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- ☆12Updated 4 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆49Updated last year
- Spiking Neural Network to identify spoken letters☆8Updated 7 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated 2 years ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 3 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 6 years ago
- Quick tutorial to Deep Rewiring☆14Updated 6 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆48Updated 6 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- ☆71Updated 9 years ago
- ☆34Updated 5 years ago
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Updated 3 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- Repository to reproduce the results of the paper "Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscill…☆9Updated 8 months ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆21Updated 6 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆50Updated 7 years ago
- Event-based deep belief network offline training algorithm☆22Updated 11 years ago
- ☆32Updated 6 years ago