IGITUGraz / L2L
Learning to Learn: Gradient-free Optimization framework
☆36Updated 3 years ago
Alternatives and similar repositories for L2L:
Users that are interested in L2L are comparing it to the libraries listed below
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆34Updated 5 years ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆38Updated 2 months ago
- Implementation of feedback alignment learning in PyTorch☆30Updated last year
- Spiking neuron integration for PyTorch☆40Updated 3 weeks ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆37Updated 7 months ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 2 years ago
- ☆14Updated 3 years ago
- ☆28Updated last year
- ☆24Updated 4 years ago
- Brian 2 frontend to the GeNN simulator☆47Updated 7 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆46Updated 4 years ago
- ☆89Updated last year
- ☆10Updated 3 years ago
- Deep learning for spiking neural networks☆69Updated 11 months ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆68Updated 6 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆25Updated 3 months ago
- Spiking neuron integration for Keras☆32Updated 3 weeks ago
- ☆38Updated last year
- Liquid State Machines in Python and NEST☆70Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Updated 6 years ago
- A library for deep learning with Spiking Neural Networks (SNN).☆28Updated this week
- Neurons learn by predicting future activity☆28Updated 3 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 3 years ago