open-neuromorphic / coding
Coding projects by the community for the community
☆19Updated 2 weeks ago
Alternatives and similar repositories for coding:
Users that are interested in coding are comparing it to the libraries listed below
- A library for deep learning with Spiking Neural Networks (SNN).☆29Updated this week
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆30Updated 10 months ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 3 months ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 3 months ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆39Updated last week
- A Loihi emulator based on Brian2☆29Updated 3 years ago
- Long short-term memory Spiking Neural Networks☆102Updated 5 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆39Updated 8 months ago
- Brian 2 frontend to the GeNN simulator☆47Updated 8 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆53Updated 2 years ago
- Neuromorphic Intermediate Representation reference implementation☆102Updated 2 weeks ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆65Updated 2 weeks ago
- A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks �…☆60Updated 11 months ago
- ☆90Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆77Updated this week
- Tutorial for surrogate gradient learning in spiking neural networks☆44Updated 9 months ago
- CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…☆47Updated last week
- Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors☆31Updated last year
- ☆30Updated 3 months ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- ☆22Updated last year
- PyTorch helper module to translate to and from NIR☆12Updated last week
- Tutorial for surrogate gradient learning in spiking neural networks☆314Updated 9 months ago
- A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.☆63Updated 2 years ago
- Cosyne workshop tutorial 2022☆115Updated 2 years ago
- ☆44Updated last year
- Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]☆59Updated last year
- A differentiable spiking neural network simulator☆21Updated 2 months ago
- ☆76Updated last year