Intelligent-Computing-Lab-Yale / SpikeSim
☆31Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for SpikeSim
- An energy simulation framework for BPTT-based SNN inference and training.☆14Updated last year
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆15Updated 3 months ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆25Updated 2 months ago
- ☆15Updated last year
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆77Updated 2 years ago
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆24Updated 2 years ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- ☆36Updated 3 years ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆11Updated last week
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆53Updated 11 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 2 years ago
- ☆28Updated last year
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆32Updated 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 …☆26Updated 2 years ago
- Framework for radix encoded SNN on FPGA☆13Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆83Updated 6 months ago
- I will share some useful or interesting papers about neuromorphic processor☆17Updated 3 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆49Updated last year
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆10Updated 2 years ago
- ☆47Updated last year
- ☆17Updated 3 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆32Updated 3 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆23Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆97Updated 3 years ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆35Updated 8 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆36Updated last year
- Collect important papers about snn☆30Updated 3 years ago