spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch. (by fangwei123456)
lava-dl
Deep Learning library for Lava (by lava-nc)
spikingjelly | lava-dl | |
---|---|---|
1 | 1 | |
1,159 | 138 | |
- | 3.6% | |
8.7 | 7.8 | |
6 days ago | about 17 hours ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
spikingjelly
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?
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.
lava-dl
Posts with mentions or reviews of lava-dl.
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?
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.
What are some alternatives?
When comparing spikingjelly and lava-dl you can also consider the following projects:
snntorch - Deep and online learning with spiking neural networks in Python
rtdl-revisiting-models - (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
learnopencv - Learn OpenCV : C++ and Python Examples
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
shap - A game theoretic approach to explain the output of any machine learning model.
CUDA-Guide - CUDA Guide
norse - Deep learning for spiking neural networks