smonsays / equilibrium-propagation
Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
☆31Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for equilibrium-propagation
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated 7 months ago
- Implementation of feedback alignment learning in PyTorch☆29Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆28Updated 3 weeks ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆84Updated 2 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- ☆28Updated last year
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆79Updated 8 months ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆36Updated 3 years ago
- ☆27Updated 5 years ago
- Deep Learning without Weight Transport☆34Updated 5 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆13Updated 3 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆45Updated 8 months ago
- ☆16Updated 4 years ago
- BrainProp: How the brain can implement reward-based error backpropagation☆16Updated last year
- ☆13Updated 3 years ago
- ☆11Updated 3 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆149Updated 3 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆22Updated 10 months ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Deep learning for spiking neural networks☆66Updated 6 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated 8 months ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆25Updated 10 months ago
- A repository collating interesting and/or influential predictive coding papers☆58Updated 3 years ago
- Spiking neuron integration for PyTorch☆39Updated 8 months ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆22Updated 3 years ago
- Tools for examining the causal structure of artificial neural networks with information theory☆21Updated 4 years ago
- ☆35Updated 2 years ago