Intelligent-Computing-Lab-Panda / SATALinks
An energy simulation framework for BPTT-based SNN inference and training.
☆16Updated last year
Alternatives and similar repositories for SATA
Users that are interested in SATA are comparing it to the libraries listed below
Sorting:
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated 11 months ago
- I will share some useful or interesting papers about neuromorphic processor☆26Updated 6 months ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆15Updated last year
- ☆37Updated last year
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆35Updated 3 weeks ago
- LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks, MICRO 2024.☆12Updated 5 months ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆86Updated 3 years ago
- NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation (HPCA 2022)☆12Updated 2 years ago
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆15Updated 9 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
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Updated 2 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- FPGA based Leaky Integrate and Fire (LIF) neuron model accelerator for PyTorch☆77Updated 2 months ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆38Updated 5 years ago
- This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 20…☆13Updated 4 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 7 months ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆59Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆52Updated 4 years ago
- Quantization-aware training with spiking neural networks☆47Updated 3 years ago
- ☆17Updated 4 years ago
- ☆11Updated 5 years ago
- SNN on FPGA☆10Updated 3 years ago
- ReRAM implementation on CNN☆18Updated 6 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆178Updated last year
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆34Updated 5 years ago
- Original DVS128 Gesture Dataset in PyTorch☆12Updated 2 years ago
- ☆19Updated 4 years ago
- ☆18Updated last year
- Spiking Neural Network RTL Implementation☆59Updated 4 years ago