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SNN was not designed to handle None values in light-curves. A simple pdf = pdf[~ pdf.FLUXCAL.isna()] in line 120 in snn/processor.py should deal with that
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Please share any ideas or sources where I can refer to implement SNN using yolo v7?
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## タイトル: スパースニューラルネットワークはハードサンプルの学習に優れているのか？
## リンク: https://arxiv.org/abs/2409.09196
## 概要:
ディープラーニングは目覚ましい進歩を遂げていますが、ノイズが多く複雑な困難なサンプルから学習することは依然として困難な課題です。これらの困難なサンプルは、ディープニューラルネットワークの最適なパフォーマンス…
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* snntorch version: 0.9.1
* Python version: 3.11.9
* Operating System: Linux
### Description
Memory usage in GPU grows unexpectedly when using Leaky() neuron.
### What I Did
After notici…
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Hi,
Firstly I want to thank you guys for making this repository public.
Recently I am referring to your code and have some questions.
1. I have tried to use "snn_vgg11_cifar100.pth" for inferenc…
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I have trained a ANN of my own for a regression problem and I'm thinking about transforming the trained ANN to a SNN using the "ann2snn.Converter" method in spikingjelly.
But the results seems incorr…
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Hello, thank you for your amazing work. Could you share the code for training psMNIST with pre-processing? In SNN work, pre-processing should play an important role in good performance. Thank you.
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Dear author,
is it able to load the transformed snn directly for inference?
I tried to use codes similar to the following:
if opt.weights_path.endswith(".weights"):
# Load darknet weights
…
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Dear Yuhang,
I have noticed that you are using a ResNet20 for CIFAR10 with 11.3 Million parameters. In the original ResNet publication of He et al [1] the definition of ResNet20 on CIFAR10 is give…