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Hello rawat28,
I have read the Hear-disease-prediction-Using-PSO (https://github.com/rawat28/Hear-disease-prediction-Using-PSO) that you uploaded to Github, and I have a question for you.
It is an…
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Original issue: https://github.com/NixOS/nix/issues/4426
**Describe the bug**
I used `nix bundle` to build a standalone executable; however the executable doesn't work
**Steps To Reproduce**
…
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In burn-train, several metrics can be used during training. It would be great to have more!
- [X] Accuracy
- [X] Loss (the one in use)
- [X] CUDA utilization (memory&compute)
- [x] Top-k accurac…
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### Your current environment
```text
PyTorch version: 2.3.1+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: Ubuntu 24.04 LTS (x86_64)
GCC vers…
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There seems to be a critical noise floor (~5% error) that can't be overcome by adding more neurons to a single layer encode-decode. The floor is already hit around 200 neurons. This could have to do w…
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In case of IMDB example, why did we initialize the last layer with only 1 neuron? Though we have two classes: positive and negative reviews:
`model.add(layers.Dense(1, activation='sigmoid'))
`
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### Overview of the issue
[Vtune](https://en.wikipedia.org/wiki/VTune) is often used for profiling applications on Intel CPUs. I was trying to use Vtune for profiling NEURON execution but it result…
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**Describe the bug**
Using a blank installation from the repo following your description and running "python .\main.py selfplay dqn_train" leads to self.legal_moves being None instead of an iteratabl…
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The query has changed; will need something like this to quickly pull in all zettels.
```vim
let l:cmd = g:neuron_executable.' -d "'.g:neuron_dir.'" query --cached | jq ".result | .vertices | to_e…
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Let's discuss evaluation metrics for `spikefinder`!
The data for doing evaluation will be, for each neuron, a fluorescence trace and an estimated spike rate. Presumably the rate will be either binar…