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

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for snn-bench 0.1.74
File	Size	Uploaded
snn_bench-0.1.74.tar.gz	8.5 MB	Sep 25, 2026	Details

Table of built distributions (wheels) for snn-bench 0.1.74
File	Interpreter	ABI	Platform	Reset
snn_bench-0.1.74-py3-none-any.whl 74.6 kB Sep 25, 2026	Python 3	none	any	Details

Total release size: 8.6 MB

Download URL	snn_bench-0.1.74.tar.gz
Size	8.5 MB
Tags	Source
SHA-256 checksum How to use checksums	`5c32ab40213311b71f90370accd0b9f6f08cf703c7088458fa41b10b8f7870cd`
BLAKE2b-256 checksum How to use checksums	`2d8615cb6c16509e41c0da1bb686cac5a8a133288e8d753cab49bb4c0018b8ac`
Upload date	Sep 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.0`

Download URL	snn_bench-0.1.74-py3-none-any.whl
Size	74.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5f9b5b511f2d2ebad107e4fcd78e6d59ffee5d2a83b70b90c98ddd244289a526`
BLAKE2b-256 checksum How to use checksums	`65ed9b29a6ace3f760a892e9bfbdf080c4561b8be92a01245f17a0fa252c2923`
Upload date	Sep 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.0`