{"id":14978639,"url":"https://github.com/neuromorphicprocessorproject/snn_toolbox","last_synced_at":"2025-04-13T00:45:11.717Z","repository":{"id":50512848,"uuid":"64289132","full_name":"NeuromorphicProcessorProject/snn_toolbox","owner":"NeuromorphicProcessorProject","description":"Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.","archived":false,"fork":false,"pushed_at":"2023-01-13T10:01:01.000Z","size":354285,"stargazers_count":372,"open_issues_count":3,"forks_count":106,"subscribers_count":16,"default_branch":"master","last_synced_at":"2025-04-13T00:45:05.466Z","etag":null,"topics":["brian","brian2","caffe","deep-learning","deep-neural-networks","keras","lasagne","loihi","nest","pynn","pytorch","spiking-neural-networks","spinnaker","tensorflow"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NeuromorphicProcessorProject.png","metadata":{"files":{"readme":"README.rst","changelog":"CHANGELOG.rst","contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-07-27T07:58:19.000Z","updated_at":"2025-04-08T08:17:46.000Z","dependencies_parsed_at":"2023-02-09T15:16:54.082Z","dependency_job_id":null,"html_url":"https://github.com/NeuromorphicProcessorProject/snn_toolbox","commit_stats":null,"previous_names":[],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NeuromorphicProcessorProject%2Fsnn_toolbox","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NeuromorphicProcessorProject%2Fsnn_toolbox/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NeuromorphicProcessorProject%2Fsnn_toolbox/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NeuromorphicProcessorProject%2Fsnn_toolbox/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NeuromorphicProcessorProject","download_url":"https://codeload.github.com/NeuromorphicProcessorProject/snn_toolbox/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248650420,"owners_count":21139672,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["brian","brian2","caffe","deep-learning","deep-neural-networks","keras","lasagne","loihi","nest","pynn","pytorch","spiking-neural-networks","spinnaker","tensorflow"],"created_at":"2024-09-24T13:58:05.516Z","updated_at":"2025-04-13T00:45:11.696Z","avatar_url":"https://github.com/NeuromorphicProcessorProject.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"|b1| |b2| |b3| |b4|\n\n.. |b1| image:: https://travis-ci.org/NeuromorphicProcessorProject/snn_toolbox.svg?branch=master\n    :target: https://travis-ci.org/NeuromorphicProcessorProject/snn_toolbox\n\n.. |b2| image:: https://readthedocs.org/projects/snntoolbox/badge/?version=latest\n    :target: https://snntoolbox.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n.. |b3| image:: https://badge.fury.io/py/snntoolbox.svg\n    :target: https://badge.fury.io/py/snntoolbox\n\n.. |b4| image:: https://pepy.tech/badge/snntoolbox\n    :target: https://pepy.tech/project/snntoolbox\n    \n\nSpiking neural network conversion toolbox\n=========================================\n\nThe SNN conversion toolbox (SNN-TB) is a framework to transform rate-based\nartificial neural networks into spiking neural networks, and to run them using\nvarious spike encodings. A unique feature about SNN-TB is that it accepts input\nmodels from many different deep-learning libraries (Keras / TF, pytorch, ...)\nand provides an interface to several backends for simulation (pyNN, brian2,\n...) or deployment (SpiNNaker, Loihi).\n\nPlease\nrefer to the `Documentation \u003chttp://snntoolbox.readthedocs.io\u003e`_ for a complete\nuser guide and API reference. See also the accompanying articles\n`[Rueckauer et al., 2017] \u003chttps://www.frontiersin.org/articles/10.3389/fnins.2017.00682/abstract\u003e`_, `[Rueckauer and Liu, 2018] \u003chttps://ieeexplore.ieee.org/abstract/document/8351295/\u003e`_, and `[Rueckauer and Liu, 2021] \u003chttps://ieeexplore.ieee.org/abstract/document/9533837\u003e`_.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneuromorphicprocessorproject%2Fsnn_toolbox","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneuromorphicprocessorproject%2Fsnn_toolbox","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneuromorphicprocessorproject%2Fsnn_toolbox/lists"}