sdascoli / dfa-dynamicsLinks
☆12Updated 4 years ago
Alternatives and similar repositories for dfa-dynamics
Users that are interested in dfa-dynamics are comparing it to the libraries listed below
Sorting:
- Experiments with Direct Feedback Alignment training scheme for DNNs☆32Updated 8 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 7 months ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆49Updated last year
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆88Updated 3 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- ☆79Updated last year
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 4 years ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆66Updated 4 years ago
- Paper submission☆20Updated last year
- ☆45Updated 2 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 5 months ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated 2 years ago
- ☆91Updated last year
- ☆29Updated last year
- Code to simulate energy-based analog systems and equilibrium propagation☆27Updated 2 months ago
- ☆34Updated 5 years ago
- Neurons learn by predicting future activity☆29Updated 3 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Updated 5 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆61Updated 4 years ago
- Github page for SSDFA☆11Updated 5 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- ☆17Updated 3 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆52Updated 3 years ago