ThomasMiconi / HebbianCNNPyTorchLinks
Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
☆38Updated 2 years ago
Alternatives and similar repositories for HebbianCNNPyTorch
Users that are interested in HebbianCNNPyTorch are comparing it to the libraries listed below
Sorting:
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆49Updated last year
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 7 months ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- ☆28Updated 6 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆31Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago
- ☆77Updated last year
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 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
- ☆14Updated 3 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- ☆29Updated last year
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Deep Learning without Weight Transport☆35Updated 5 years ago
- ☆12Updated 4 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- Testing Difference Target Propagation (DTP) on MNIST.☆12Updated 4 years ago
- Neurons learn by predicting future activity☆28Updated 3 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 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
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆28Updated 11 months ago
- Paper submission☆20Updated last year
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆66Updated 4 years ago
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12Updated 6 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago