Intelligent-Computing-Lab-Yale / SpikeSimLinks
☆33Updated last year
Alternatives and similar repositories for SpikeSim
Users that are interested in SpikeSim are comparing it to the libraries listed below
Sorting:
- An energy simulation framework for BPTT-based SNN inference and training.☆16Updated last year
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆15Updated 6 months ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆67Updated 2 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆27Updated 8 months ago
- ☆54Updated 2 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated 9 months ago
- ☆17Updated 2 years ago
- Framework for radix encoded SNN on FPGA☆13Updated 3 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆13Updated last year
- ☆38Updated 3 years ago
- ☆29Updated last year
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆84Updated 3 years ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆34Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆20Updated 3 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆16Updated 4 months ago
- [ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS☆19Updated last year
- I will share some useful or interesting papers about neuromorphic processor☆25Updated 4 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆51Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆87Updated last year
- ☆12Updated 3 years ago
- CS4362 - Hardware Description Languages. Implemented SNN on an FPGA for real-time image processing using VHDL☆16Updated last year
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆61Updated last year
- LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks, MICRO 2024.☆11Updated 2 months ago
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆29Updated 4 months ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆40Updated 2 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆21Updated last year
- This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 20…☆13Updated 4 years ago
- PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆28Updated 2 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- ☆18Updated 2 years ago