OpenSpike

SNN accelerator

An accelerator designed to speed up spiking neural networks by integrating synaptic weights on a single chip.

Fully opensource spiking neural network accelerator

GitHub

129 stars
3 watching
16 forks
Language: Verilog
last commit: almost 2 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
synsense/rockpool A Python library for building and deploying signal processing applications with spiking neural networks on various hardware platforms. 52
synsense/sinabs A deep learning library for training and deploying spiking neural networks using PyTorch. 81
doonny/pipecnn A tool for accelerating convolutional neural networks on Field-Programmable Gate Arrays (FPGAs) using OpenCL-based hardware design 1,253
kmheckel/spyx A JAX-based library for training and utilizing spiking neural networks 101
jeshraghian/snntorch A Python package for training spiking neural networks with gradient-based learning 1,347
bindsnet/bindsnet A software package for simulating spiking neural networks using PyTorch. 1,507
norse/norse Deep learning framework for spiking neural networks 673
basbuller/pysnn A framework for building and simulating efficient spiking neural networks on GPU 218
mrdimosthenis/fsharp.synapses A plug-and-play F# library for building and training neural networks 14
mil-tokyo/webdnn A browser-based framework for accelerating deep neural networks using WebGPU or WebGL2 1,979
nngen/nngen Generates hardware-specific accelerator designs for neural networks 339
xilinx/finn Fast and scalable neural network inference framework for FPGAs. 747
guillaume-chevalier/sgnn-self-governing-neural-networks-projection-layer Reproduces a SGNN's word projections preprocessing pipeline using word n-grams instead of skip-grams 23
deepvoltaire/fast-scnn An implementation of a real-time semantic segmentation network with a focus on efficient memory usage and mobile performance. 71
microsoft/deepspeed-mii A Python library designed to accelerate model inference with high-throughput and low latency capabilities 1,898