jeshraghian / QSNNsLinks
Quantization-aware training with spiking neural networks
☆47Updated 3 years ago
Alternatives and similar repositories for QSNNs
Users that are interested in QSNNs are comparing it to the libraries listed below
Sorting:
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆92Updated last month
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆86Updated 3 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆35Updated 3 years ago
- ☆38Updated 3 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆15Updated last year
- ☆18Updated 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
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆179Updated last year
- This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…☆84Updated last year
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated 11 months ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- ☆45Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆82Updated 2 years ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆105Updated last week
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆54Updated last year
- ☆38Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆56Updated 2 years ago
- Neuromorphic Intermediate Representation reference implementation☆128Updated last month
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆44Updated last year
- Original DVS128 Gesture Dataset in PyTorch☆12Updated 2 years ago
- ☆55Updated 2 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆28Updated 2 years ago
- Metrics for spiking neural networks based on torchmetrics☆13Updated 2 years ago
- Deep Learning library for Lava☆165Updated last month
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆38Updated 5 years ago