Laborieux-Axel / holomorphic_eqpropLinks
Repository to reproduce the results of the paper "Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations"
☆11Updated last year
Alternatives and similar repositories for holomorphic_eqprop
Users that are interested in holomorphic_eqprop are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆37Updated 5 years ago
- ☆14Updated 4 years ago
- Neurons learn by predicting future activity☆29Updated 4 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆53Updated last year
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- An implementation of Olshausen and Field (96) in PyTorch☆32Updated 5 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Official code base for NeurIPS 2021 SVRHM Workshop poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Da…☆12Updated 2 years ago
- ☆48Updated 2 years ago
- The code for performing MTL on object recognition with neural data☆15Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated last year
- Predictive Coding JAX-based library☆83Updated 6 months ago
- Spyx: Spiking Neural Networks in JAX☆126Updated last year
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆24Updated 4 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆25Updated last year
- ☆28Updated 6 years ago
- ☆90Updated last year
- Learning Activation Functions in Deep (Spline) Neural Networks☆28Updated 2 years ago
- Software for using predictive coding algorithms to train PyTorch models.☆26Updated last year
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆91Updated last year
- Example of Dense Associative Memory training on MNIST☆41Updated 3 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆162Updated 4 years ago
- ☆30Updated 2 years ago
- Repository for VOneNet models☆118Updated 9 months ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆50Updated 4 years ago