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 0.1.51
File	Size	Uploaded
snn_bench-0.1.51.tar.gz	4.3 MB	Sep 23, 2026	Details

Table of built distributions (wheels) for snn-bench 0.1.51
File	Interpreter	ABI	Platform	Reset
snn_bench-0.1.51-py3-none-any.whl 61.8 kB Sep 23, 2026	Python 3	none	any	Details

Total release size: 4.3 MB

Download URL	snn_bench-0.1.51.tar.gz
Size	4.3 MB
Tags	Source
SHA-256 checksum How to use checksums	`6b67a5e511b2bac9b36a15ddf1e7b02b1cf872c2df810edc85ec3406a2d37b3e`
BLAKE2b-256 checksum How to use checksums	`24cd6fbe31288573a8806a61bc6636ec3c870aaa855e5a7a02f95a7eacd57b7d`
Upload date	Sep 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.0`

Download URL	snn_bench-0.1.51-py3-none-any.whl
Size	61.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cebc83c918adc2c33bd9ffd84f0eb7935636eaa35256ff1877e8c2ba8de5044f`
BLAKE2b-256 checksum How to use checksums	`3b7a5a56240ca67de91acb6311d8678031b55c1eb434465003adeabe560b3550`
Upload date	Sep 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.0`