IGITUGraz / L2LLinks
Learning to Learn: Gradient-free Optimization framework
☆36Updated 4 years ago
Alternatives and similar repositories for L2L
Users that are interested in L2L are comparing it to the libraries listed below
Sorting:
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 6 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆158Updated 4 years ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆47Updated 4 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆41Updated this week
- A brian2 extension to simulate spiking neural networks on GPUs☆64Updated 7 months ago
- Brian 2 frontend to the GeNN simulator☆47Updated 11 months ago
- Deep learning for spiking neural networks☆69Updated last year
- Deep learning integration for Nengo☆91Updated 4 months ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- Spiking neuron integration for PyTorch☆41Updated 4 months ago
- Instructive examples using projects in the Nengo ecosystem☆23Updated last year
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆43Updated 6 months ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆102Updated 5 months ago
- Quantify geometric intelligence in natural and artificial brains.☆51Updated last month
- ☆14Updated 4 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- Neurons learn by predicting future activity☆29Updated 3 years ago
- ☆39Updated last year
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆39Updated 2 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆38Updated 11 months ago