YigitDemirag / srnn-pcmLinks
PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses
☆21Updated 4 years ago
Alternatives and similar repositories for srnn-pcm
Users that are interested in srnn-pcm are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆54Updated 3 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆29Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆57Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated 2 years ago
- ☆42Updated 6 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆35Updated 3 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 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
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- Quantization-aware training with spiking neural networks☆48Updated 3 years ago
- ☆45Updated 3 years ago
- ☆96Updated last year
- Original DVS128 Gesture Dataset in PyTorch☆12Updated 2 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆47Updated last year
- Spiking Convolutional Neural Networks☆68Updated 6 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆86Updated 3 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆39Updated 5 years ago
- Long short-term memory Spiking Neural Networks☆104Updated 5 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated last year
- ☆38Updated 3 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆184Updated last year
- Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons☆13Updated 2 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆20Updated 4 years ago
- I will share some useful or interesting papers about neuromorphic processor☆27Updated 8 months ago
- ☆39Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆94Updated 2 months ago
- ☆42Updated 3 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