smonsays / equilibrium-propagationLinks
Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
☆35Updated 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)☆13Updated last year
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆49Updated last year
- Deep Learning without Weight Transport☆35Updated 5 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 7 months ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 4 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆156Updated 4 years ago
- Predictive Coding JAX-based library☆61Updated last month
- ☆17Updated 4 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆88Updated 2 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- ☆29Updated last year
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated 2 years ago
- repo for code for paper on general theory associative memory models☆19Updated 2 years ago
- ☆28Updated 6 years ago
- Experiments with Direct Feedback Alignment training scheme for DNNs☆32Updated 8 years ago
- ☆14Updated 3 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- Spiking neural networks in JAX with equinox.☆22Updated 9 months ago
- ☆24Updated 4 years ago
- ☆12Updated 4 years ago
- Spiking neuron integration for PyTorch☆41Updated 2 months ago
- BrainProp: How the brain can implement reward-based error backpropagation☆16Updated 2 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 3 years ago