Intelligent-Computing-Lab-Panda / SpikeSimLinks
☆36Updated last year
Alternatives and similar repositories for SpikeSim
Users that are interested in SpikeSim are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆16Updated 8 months ago
- An energy simulation framework for BPTT-based SNN inference and training.☆16Updated last year
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated 10 months ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆68Updated 3 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆85Updated 3 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆14Updated last year
- ☆55Updated 2 years ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- ☆18Updated 2 years ago
- I will share some useful or interesting papers about neuromorphic processor☆25Updated 5 months ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆17Updated 6 months ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆87Updated last year
- ☆38Updated 3 years ago
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆33Updated 5 months ago
- Stochastic Computing for Deep Neural Networks☆33Updated 4 years ago
- ☆18Updated 2 years ago
- Quantization-aware training with spiking neural networks☆44Updated 3 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆57Updated 3 years ago
- codes of the paper Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks (CVPR 2023)☆17Updated 11 months 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
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆174Updated last year
- ☆17Updated 4 years ago
- A Simulation Framework for Memristive Deep Learning Systems☆157Updated last year
- LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks, MICRO 2024.☆11Updated 4 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆63Updated last year
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆10Updated 3 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆27Updated 2 years ago
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks☆21Updated last year
- This is the official project repository for BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blu…☆28Updated 8 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆52Updated 4 years ago