snn_bench
A Project for independently testable components for data ingestion, ANN training, ANN to SNN conversion, evaluation and results visualization.
Installation
pip install git+https://github.com/fangwei123456/spikingjelly.git
pip install snn-bench
Troubleshooting
For issues related to dependencies or versions, you can use:
pip install snn-bench --upgrade
1 maintainer
Metadata
1 maintainer
Release files for snn-bench 0.1.83
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| snn_bench-0.1.83.tar.gz | 14.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| snn_bench-0.1.83-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.3 MB
Release files / snn_bench-0.1.83.tar.gz
| Download URL | snn_bench-0.1.83.tar.gz |
|---|---|
| Size | 14.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.0
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Release files / snn_bench-0.1.83-py3-none-any.whl
| Download URL | snn_bench-0.1.83-py3-none-any.whl |
|---|---|
| Size | 111.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.0
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