neurom-iot / n3ml
Neuromorphic Neural Network Machine Learning
☆19Updated last year
Alternatives and similar repositories for n3ml:
Users that are interested in n3ml are comparing it to the libraries listed below
- Convolutional spiking neural network implementing STDP☆15Updated 2 years ago
- Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…☆46Updated 4 years ago
- Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…☆10Updated 7 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 3 years ago
- Basic SNN propogating spikes between LIF neurons☆84Updated 6 years ago
- Spiking Convolutional Neural Networks☆66Updated 6 years ago
- Deep Spiking Reinforcement Learning☆21Updated last year
- ☆68Updated 3 years ago
- Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.☆11Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- Implementation of Long Short Term Spiking NN☆39Updated 2 years ago
- Long short-term memory Spiking Neural Networks☆100Updated 4 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 4 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆156Updated 5 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 3 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆28Updated 8 months ago
- A toolbox for neuromorphic sensing in robotics.☆15Updated 3 years ago
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆22Updated 2 years ago
- A Spiking Neural Network Architecture for MNIST Digit Recognition☆32Updated 6 years ago
- Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the…☆10Updated 2 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆17Updated 4 years ago
- Python PyNN code demonstrating classification using SpiNNaker neuromorphic hardware. This work was developed at the University of Sussex …☆13Updated 8 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆122Updated 7 years ago
- Repository for content for the AMLD2020 workshop "Spiking neural networks for real-time inference tasks"☆16Updated 4 years ago
- Neuromorphic Architecture Abstraction Layer☆16Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆31Updated 5 months ago
- Implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks☆28Updated last year
- Some of my initial studies using spiking neural networks and Python☆36Updated 2 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆27Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 10 months ago