Neural-Architecture-Search-for-Spiking-Neural-Networks

(★ 75)

Neural Architecture Search for Spiking Neural Networks, ECCV2022

Owner Repos

GPTAQ ★ 94

Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)

Python
STAtten ★ 80

PyTorch Implementation of Spiking Transformer with Spatial-Temporal Attention (CVPR 2025)

Python
BNTT-Batch-Normalization-Through-Time ★ 49

BNTT - Frontiers in Neuroscience (2021)

Python
SpikeSim ★ 48

No description provided.

Python
NDA_SNN ★ 44

Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.

Python
FedSNN ★ 40

Source code for the paper "Federated Learning with Spiking Neural Networks".

Python

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  • config.py
  • model_snn.py
  • README.md
  • search_snn.py
  • utils.py

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conda activate

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Activate a conda environment.
See also: `conda deactivate`.

conda activate myenv

Activate an existing environment named `myenv`:

conda activate {{path/to/myenv}}

Activate an existing environment located at custom path:

conda activate --stack myenv

Stack `myenv` environment on top of a previous environment making libraries/commands/variables from both accessible:

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conda create

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Create new conda environments.

conda create {{[-y|--yes]}} {{[-n|--name]}} py39 python=3.9 "numpy>=1.11" scipy

Create a new environment named `py39`, install Python 3.9, NumPy v1.11 or above in it, and the latest stable version of SciPy. Say yes to all confirmations:

conda create {{[-n|--name]}} myenv --file {{file1.yml}} --file {{file2.yml}}

Create a new environment named `myenv` and install packages listed in files:

conda create {{[-p|--prefix]}} {{path/to/myenv}}

Create a new environment at a custom path (i.e. prefix):

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conda install

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Install packages into an existing conda environment.

conda install {{package1 package2 ...}}

Install one or more package into the currently active conda environment:

conda install {{[-c|--channel]}} conda-forge {{package}}

Install a single package into the currently active conda environment using channel conda-forge:

conda install {{[-c|--channel]}} conda-forge --override-channels {{package}}

Install a single package into the currently active conda environment using channel conda-forge and ignoring other channels:

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git clone

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git clone {{[-n|--no-checkout]}} {{remote_repository_location}}

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pip install

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Install one or more packages:

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pip install {{package}}=={{version}}

Install a specific version of a package:

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python

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Python language interpreter.

python

Start a REPL (interactive shell):

python {{path/to/file.py}}

Execute a specific Python file:

python -i {{path/to/file.py}}

Execute a specific Python file and start a REPL:

// repository documentation