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fangwei123456 avatar fangwei123456 commented on June 1, 2024

SpykeTorch我不是很了解,大致看了一下,是纯python实现,某些功能或设计**如果想加进来,难度应该不大。是希望整合哪些功能?

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fangwei123456 avatar fangwei123456 commented on June 1, 2024

手滑按错成关闭了

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densechen avatar densechen commented on June 1, 2024

🐥🐥🐥
image
https://github.com/XDUSPONGE/SNN_benchmark?utm_source=catalyzex.com
感谢及时回复

目前来说,这几个框架都是基于PyTorch实现的。但是,都是一两年前的了,而且都没有更新维护了。
每一个框架都有一些特点。
我不知道这个对你们开发这个新的框架会不会有些参考。
目前来说,这个项目是我看到的最新,而且是国内开发的💪🏻

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fangwei123456 avatar fangwei123456 commented on June 1, 2024

感谢支持。以往的大多数框架都侧重生物可解释性(例如PySNN, SpykeTorch),使用STDP之类的规则来学习。Nengo-DL是一个特例,它是可以做深度学习的,因其基于TensorFlow,先训练一个ANN再转换成SNN。最新的3个框架里,BindsNet侧重生物可解释性,Norse和SpikingJelly是侧重深度学习的。Norse和SpikingJelly应该都是在去年下半年启动开发,但我们直到今年8月才注意到Norse这个框架。Norse和SpikingJelly的设计思路类似,但代码风格不太相同。

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