Intelligent-Computing-Lab-Panda / SpikeSimLinks
☆38Updated 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 2 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆15Updated 10 months ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated last year
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆86Updated 3 years ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- Original DVS128 Gesture Dataset in PyTorch☆12Updated 2 years ago
- ☆55Updated 2 years ago
- LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks, MICRO 2024.☆13Updated 6 months ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆69Updated 3 years ago
- Stochastic Computing for Deep Neural Networks☆33Updated 4 years ago
- ☆18Updated 2 years ago
- I will share some useful or interesting papers about neuromorphic processor☆27Updated 7 months ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆15Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆92Updated last month
- Quantization-aware training with spiking neural networks☆48Updated 3 years ago
- ☆17Updated 4 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆29Updated 2 years ago
- ☆12Updated 3 years ago
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆36Updated last month
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆181Updated last year
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆11Updated 3 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆60Updated 4 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 8 months ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆90Updated last year
- ☆19Updated 2 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated last year
- A Simulation Framework for Memristive Deep Learning Systems☆163Updated last year
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆12Updated 3 years ago
- ReRAM implementation on CNN☆18Updated 6 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 4 years ago