jeshraghian / QSNNsLinks
Quantization-aware training with spiking neural networks
☆51Updated 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.☆102Updated 4 months ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆55Updated 3 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆37Updated 4 years ago
- ☆18Updated 2 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆91Updated 3 years ago
- ☆41Updated last year
- ☆46Updated 3 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆16Updated last year
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated last year
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆59Updated 2 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆103Updated 4 years ago
- CS4362 - Hardware Description Languages. Implemented SNN on an FPGA for real-time image processing using VHDL☆23Updated last year
- Collection of Spiking Neural Network applications for SNN Toolbox.☆34Updated 5 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆198Updated 2 years ago
- Metrics for spiking neural networks based on torchmetrics☆12Updated 2 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
- Original DVS128 Gesture Dataset in PyTorch☆13Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 4 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 …☆29Updated 3 years ago
- Framework for radix encoded SNN on FPGA☆18Updated 4 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆11Updated 3 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆75Updated this week
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆62Updated last year
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆83Updated 2 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 3 years ago
- A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…☆109Updated this week
- Neuromorphic Intermediate Representation reference implementation☆142Updated last week
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆32Updated 2 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆17Updated last year
- Tutorial for surrogate gradient learning in spiking neural networks☆46Updated last year