MaxwellWjj / Resume_SNNLinks
training SNN with Resume algorithm
☆11Updated 5 years ago
Alternatives and similar repositories for Resume_SNN
Users that are interested in Resume_SNN are comparing it to the libraries listed below
Sorting:
- Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.☆12Updated 2 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆30Updated 3 years ago
- a simple snn model in matlab☆22Updated 9 years ago
- A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.☆19Updated 5 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆38Updated 5 years ago
- FPGA based Leaky Integrate and Fire (LIF) neuron model accelerator for PyTorch☆80Updated 2 months ago
- This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 20…☆13Updated 4 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆44Updated last year
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- ☆42Updated 3 years ago
- Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"☆133Updated 4 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆89Updated 2 years ago
- Software framework for Designing and Mapping a CNN onto neuromorphic chip with crossbar array of synapses.☆11Updated 5 years ago
- ☆38Updated 3 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆15Updated 2 years ago
- Implementation of the paper 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity' by Peter Diehl and Matth…☆13Updated 5 years ago
- Code for DCT_SNN, an input encoding scheme for SNNs using DCT☆17Updated 3 years ago
- Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.☆166Updated 6 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- ☆42Updated 6 years ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆28Updated 2 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆36Updated 3 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆11Updated 3 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆27Updated 9 years ago
- An energy simulation framework for BPTT-based SNN inference and training.☆16Updated 2 years ago
- ☆55Updated 2 years ago