neuronalX / OgerLinks
Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)
☆19Updated 3 years ago
Alternatives and similar repositories for Oger
Users that are interested in Oger are comparing it to the libraries listed below
Sorting:
- Liquid State Machines in Python and NEST☆72Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated last year
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆32Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆58Updated last year
- ☆25Updated 2 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆86Updated last week
- PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware☆39Updated 3 years ago
- Some of my initial studies using spiking neural networks and Python☆37Updated 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
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- Neuron-Astrocyte Liquid State Machine☆20Updated 3 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆30Updated 3 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆33Updated 5 years ago
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆54Updated 3 years ago
- Neuromorphic Intermediate Representation reference implementation☆119Updated last week
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Updated 2 years ago
- ☆93Updated last year
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆42Updated 11 months ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆28Updated last year
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆35Updated 3 years ago
- ☆40Updated 3 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆71Updated last month
- A Liquid State Machine using quantized neurons that are operating on lower-bit representations and fixed point computations. It provides …☆14Updated last year
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆27Updated 2 years ago
- Cosyne workshop tutorial 2022☆120Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆325Updated last year
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 4 years ago
- Neural network (reservoir computing system) based on electro-optical delay setup☆14Updated 5 years ago