spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch. (by fangwei123456)

Spikingjelly Alternatives

Similar projects and alternatives to spikingjelly based on common topics and language

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better spikingjelly alternative or higher similarity.

spikingjelly reviews and mentions

Posts with mentions or reviews of spikingjelly. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-04.
  • Has anyone used Spiking Neural Networks (SNNs) for image processing?
    2 projects | /r/computervision | 4 Apr 2022
    Surrogate gradient learning w/ backpropagation: for short, you can use backpropagation with SNNs (by a little trick during the backward pass). Super easy to implement, super efficient. You have a deep SNN trained via backprop with any type of input you want. Personally, that is completely my jam. Maybe you can use such paradigm to easily train an SNN in your biomed image dataset. Good repos: SnnTorch comes with the best tutorials to explain SNNs and surrogate gradient learning. This is the fastest way to understand the field and begin to implement you solution. Nevertheless, spikingjelly remains a better option when it comes to implement your ideas (better memory efficiency, etc). Good mention to lava-dl, with which you can train a neural network and directly transfer it into neuromorphic hardware (Intel Loihi) if you have access to this kind of chip.

Stats

Basic spikingjelly repo stats
1
1,137
8.8
6 days ago

fangwei123456/spikingjelly is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

The primary programming language of spikingjelly is Python.


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