neurom-iot / onnx-snn
ONNX for SNN(Spiking Neural Networks)
☆20Updated 4 years ago
Alternatives and similar repositories for onnx-snn:
Users that are interested in onnx-snn are comparing it to the libraries listed below
- Intelligent Component Registry web service for managing and using snn, dnn, and ml models, which is stored in onnx format.☆21Updated 2 years ago
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Updated last year
- Leaky Integrate and Fire (LIF) model implementation for FPGA☆57Updated last year
- ☆9Updated 5 years ago
- CNN simd based accelerator using Vitis HLS☆10Updated 2 years ago
- An energy simulation framework for BPTT-based SNN inference and training.☆15Updated last year
- Neuromorphic Architecture Abstraction Layer☆16Updated 2 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆33Updated 5 years ago
- Framework for radix encoded SNN on FPGA☆13Updated 3 years ago
- ☆17Updated 4 years ago
- Neural Network Acceleration using CPU/GPU, ASIC, FPGA☆60Updated 4 years ago
- Lab code for three-day lecture, "Designing CNN Accelerators using Bluespec System Verilog", given at SNU in December 2017☆27Updated 6 years ago
- Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators☆11Updated 5 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆36Updated 5 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆26Updated 6 months ago
- NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation (HPCA 2022)☆10Updated 2 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆12Updated 11 months ago
- I will share some useful or interesting papers about neuromorphic processor☆20Updated last month
- Efficient single-pass hyperdimensional classifier. Mirror of https://gitlab.com/biaslab/onlinehd☆9Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆47Updated 3 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
- ☆13Updated last week
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- ☆32Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆42Updated 4 years ago
- NeuroSpector: Dataflow and Mapping Optimizer for Deep Neural Network Accelerators☆20Updated last week
- ☆11Updated 6 years ago
- Neural Network Acceleration such as ASIC, FPGA, GPU, and PIM☆51Updated 4 years ago
- ☆33Updated 6 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆35Updated 4 years ago