smonsays / equilibrium-propagationLinks
Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
☆38Updated 5 years ago
Alternatives and similar repositories for equilibrium-propagation
Users that are interested in equilibrium-propagation are comparing it to the libraries listed below
Sorting:
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆163Updated 5 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆90Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- Deep Learning without Weight Transport☆36Updated 6 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆95Updated last year
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆55Updated last year
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆25Updated 4 years ago
- ☆30Updated 2 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆38Updated 4 years ago
- BrainProp: How the brain can implement reward-based error backpropagation☆17Updated 3 years ago
- Spiking neural networks in JAX with equinox.☆27Updated last year
- Deep learning for spiking neural networks☆69Updated last year
- ☆17Updated 5 years ago
- ☆12Updated 4 years ago
- ☆12Updated 4 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆29Updated 10 months ago
- Spyx: Spiking Neural Networks in JAX☆126Updated 3 weeks ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- ☆14Updated 4 years ago
- ☆28Updated 6 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆28Updated last year
- Code to simulate energy-based analog systems and equilibrium propagation☆30Updated 8 months ago
- Spiking neuron integration for PyTorch☆41Updated 8 months ago
- Predictive Coding JAX-based library☆85Updated 7 months ago
- ☆91Updated last year