Database / manifests /14 /github.com__neurobench__neurobench.json
opsecsystems's picture
Scripts of 2026-10-02: 3 new block(s), 1150 manifest(s), 0 removed
6d261d0 verified
Raw History Blame Contribute Delete
27.4 kB
{
"format": "oscr-script-manifest/1",
"repository": "github.com/neurobench/neurobench",
"url": "https://github.com/neurobench/neurobench",
"host": "github.com",
"commit": "e521c28f5798cb40bb9423758bf066dad53fe070",
"license": "Apache-2.0",
"license_confirmed_by": "license file LICENSE",
"redistribution": "yes",
"files": [
{
"path": "LICENSE",
"sha256": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4",
"language": "License",
"lines": 201,
"truncated": false,
"block": 1,
"row": 2216
},
{
"path": "README.rst",
"sha256": "919c76b77ec43bad48ccea8add613c273572c9226b92480c4bb31dd8337e67ac",
"language": "Text",
"lines": 182,
"truncated": false,
"block": 16,
"row": 7528
},
{
"path": "docs/conf.py",
"sha256": "1e0eb46ae76a16280b860864738a7bd95959977329d70dac484ccfa5bd8ac805",
"language": "Python",
"lines": 53,
"truncated": false,
"block": 15,
"row": 10143
},
{
"path": "examples/dvs_gesture/DVS_Gesture_tutorial.ipynb",
"sha256": "66794a7aa2f3b6fff0fe130d9402ed2e506e359735ef7ee2bc92666c8823975e",
"language": "Jupyter",
"lines": 164,
"truncated": false,
"block": 14,
"row": 15641
},
{
"path": "examples/dvs_gesture/benchmark_snn.py",
"sha256": "4ee1f9af1a937a76dea397b08fb63ae4964b6da14f8abe4bb48709711070feb9",
"language": "Python",
"lines": 57,
"truncated": false,
"block": 15,
"row": 11411
},
{
"path": "examples/dvs_gesture/snn.py",
"sha256": "231928352e11b19123819458b6794173dbbea7ca4e9f9e9c79bf6ef54deea213",
"language": "Python",
"lines": 62,
"truncated": false,
"block": 15,
"row": 10927
},
{
"path": "examples/dvs_gesture/train_snn.py",
"sha256": "b12bb73c91c9dcf684a37e7299522a3f9c16790a13f26105f44fb31e89dc07f9",
"language": "Python",
"lines": 138,
"truncated": false,
"block": 15,
"row": 16735
},
{
"path": "examples/eeg_mi/benchmark.py",
"sha256": "36580b539616d439070c9ec9cf750dcbf97a90807d40a0391d8213cf843108cc",
"language": "Python",
"lines": 48,
"truncated": false,
"block": 15,
"row": 8798
},
{
"path": "examples/eeg_mi/model.py",
"sha256": "4a4a792ca4c2a1e22d1f822d1d4361b79e56847bfd8cf57443eba17175e42c23",
"language": "Python",
"lines": 35,
"truncated": false,
"block": 15,
"row": 8781
},
{
"path": "examples/eeg_mi/train.py",
"sha256": "1155905abe104f90faad1741dcb42b65ee105098e91a736ac4edd85792423452",
"language": "Python",
"lines": 100,
"truncated": false,
"block": 15,
"row": 13255
},
{
"path": "examples/gsc/ANN.py",
"sha256": "cf11f2f21439127aaf93448e88fcbd066dc61f33d098356896f13c053d7ce9d6",
"language": "Python",
"lines": 49,
"truncated": false,
"block": 15,
"row": 10004
},
{
"path": "examples/gsc/GSC_tutorial.ipynb",
"sha256": "b0051fd685971ced794937e72c661a904d3acac9d034fd743c0a01a5daf29fa2",
"language": "Jupyter",
"lines": 124,
"truncated": false,
"block": 14,
"row": 15503
},
{
"path": "examples/gsc/SNN.py",
"sha256": "cdd173de71bd85f6b13e58dd7268dd840c0415b07562cc88948279a5fd42b358",
"language": "Python",
"lines": 17,
"truncated": false,
"block": 15,
"row": 6970
},
{
"path": "examples/gsc/benchmark_ann.py",
"sha256": "6942eea312409bdb62fc726f689f5d8d19484f75fbcfa8c2c8a2372ac079666a",
"language": "Python",
"lines": 70,
"truncated": false,
"block": 15,
"row": 11082
},
{
"path": "examples/gsc/benchmark_snn.py",
"sha256": "b69081b478d8c47597892ff599a759071468ecd6f57d57cad1104f11f35811f8",
"language": "Python",
"lines": 53,
"truncated": false,
"block": 15,
"row": 10169
},
{
"path": "examples/gsc/train_ANN.py",
"sha256": "351599dbbe0c16e469acfb70eb2944f024b93f36169620ae17f878dcdd277364",
"language": "Python",
"lines": 112,
"truncated": false,
"block": 15,
"row": 13925
},
{
"path": "examples/gsc/train_SNN.py",
"sha256": "2f4de187a54fb2881d9b9e0183aeb55abdfb09340c7b75cf0533f3c52a560d07",
"language": "Python",
"lines": 107,
"truncated": false,
"block": 15,
"row": 13936
},
{
"path": "examples/mackey_glass/MG_tutorial.ipynb",
"sha256": "5c252ce0df984f3a7463963f29e221dfee4a418716b387c041888c5b6fb0343c",
"language": "Jupyter",
"lines": 135,
"truncated": false,
"block": 14,
"row": 15533
},
{
"path": "examples/mackey_glass/echo_state_network.py",
"sha256": "5e03fdb3832650975e755122833abd6b6cb103cb7b7c451f87c03582b827203a",
"language": "Python",
"lines": 176,
"truncated": false,
"block": 15,
"row": 20892
},
{
"path": "examples/mackey_glass/esn_benchmark.py",
"sha256": "a6cb528a3308941c67baa13f84429a847f1da81282629cd183ef5ad3f81e2f55",
"language": "Python",
"lines": 98,
"truncated": false,
"block": 15,
"row": 15100
},
{
"path": "examples/mackey_glass/lstm_benchmark.py",
"sha256": "7fabba6e2590c7de6b3c59f7e35d6d5cfc098bce0707acaebbb2f134529f3f39",
"language": "Python",
"lines": 223,
"truncated": false,
"block": 15,
"row": 19401
},
{
"path": "examples/mackey_glass/lstm_model.py",
"sha256": "05eba8cdf44c11a5f117f189be4ed8218ca4867db12a6da06dc8f32206c4d702",
"language": "Python",
"lines": 152,
"truncated": false,
"block": 15,
"row": 17684
},
{
"path": "examples/mswc_fscil/M5.py",
"sha256": "e13d87067f4e291df73910a7d7fbe06d7a7a326da6cc35a23b62138e7406a713",
"language": "Python",
"lines": 57,
"truncated": false,
"block": 15,
"row": 11257
},
{
"path": "examples/mswc_fscil/MSWC_tutorial.ipynb",
"sha256": "2739353d5c4efcb143af1e0aa7f269a2ff4eaec80be40bbbaceedd3b7240b32e",
"language": "Jupyter",
"lines": 539,
"truncated": false,
"block": 14,
"row": 16462
},
{
"path": "examples/mswc_fscil/mswc_fscil.py",
"sha256": "906880885544248158abfb92a2acdd19f27e654bf964c2cd04434fdf1a46ac14",
"language": "Python",
"lines": 482,
"truncated": false,
"block": 15,
"row": 24385
},
{
"path": "examples/mswc_fscil/sparchSNNs.py",
"sha256": "b1c23996e10f9e7c3abca40972b9b06dc66c6f4fd1fe1a0bca949ccab74d3f34",
"language": "Python",
"lines": 910,
"truncated": false,
"block": 16,
"row": 362
},
{
"path": "examples/nehar/NeHAR.ipynb",
"sha256": "bc2c313bda795027048ed0f666f3f7c404ae0ca18f268f76abf6a160ed75977c",
"language": "Jupyter",
"lines": 1027,
"truncated": false,
"block": 14,
"row": 16578
},
{
"path": "examples/nehar/SCNN.py",
"sha256": "0e979a8dcd0cebcee526709d9415aafab7d857893b337d9ccf23b6e9f0724dbb",
"language": "Python",
"lines": 60,
"truncated": false,
"block": 15,
"row": 10473
},
{
"path": "examples/nehar/benchmark.py",
"sha256": "c3c954ad386ba4b1f99c6f70825d85ab9ae1f61e8f097827449ab2f597a18934",
"language": "Python",
"lines": 74,
"truncated": false,
"block": 15,
"row": 11607
},
{
"path": "examples/nehar/training.py",
"sha256": "65bda0c762e43286edd2c0917f258b4f84a165bd9609fe4d685222e02409cd47",
"language": "Python",
"lines": 100,
"truncated": false,
"block": 15,
"row": 14195
},
{
"path": "examples/obj_detection/Object_Detection_tutorial.ipynb",
"sha256": "e636b398a3117bcd0a7d8ed00fe5e8ab159ea6c1e572012e15e1f619bdbb3932",
"language": "Jupyter",
"lines": 159,
"truncated": false,
"block": 14,
"row": 15795
},
{
"path": "examples/obj_detection/benchmark.py",
"sha256": "eb74d9dcc23a4ce57478a193cdc335fc2e1be3a7803bc63664a9bd8255351322",
"language": "Python",
"lines": 129,
"truncated": false,
"block": 15,
"row": 17625
},
{
"path": "examples/obj_detection/modules.py",
"sha256": "9dee94bc14508bcd010f5983edfa10eec3e99eff953278bead686b930e906a7f",
"language": "Python",
"lines": 177,
"truncated": false,
"block": 15,
"row": 18930
},
{
"path": "examples/obj_detection/obj_det_model.py",
"sha256": "a3c36fef8cad200db29a8f5e166c50d40491c1c874a72d515fb6f74df1967fa8",
"language": "Python",
"lines": 121,
"truncated": false,
"block": 15,
"row": 15506
},
{
"path": "examples/obj_detection/training_RED.py",
"sha256": "346fd9be82cbb8bd208902d09ef99ac7ff0ab07cb8e7aa5a7f97fdfb6ec00e19",
"language": "Python",
"lines": 321,
"truncated": false,
"block": 15,
"row": 23201
},
{
"path": "examples/obj_detection/training_hybrid_spikingRED.py",
"sha256": "ae2056eb63785f26b01d3d8193c44be753e48f800e53021dbdb3e5fafe409d05",
"language": "Python",
"lines": 327,
"truncated": false,
"block": 15,
"row": 23207
},
{
"path": "examples/obj_detection/training_utils.py",
"sha256": "fdcc52af16228248566a205b80f1e70e71c4175331f5048879a6da3708f674ec",
"language": "Python",
"lines": 52,
"truncated": false,
"block": 15,
"row": 12361
},
{
"path": "examples/primate_reaching/ANN.py",
"sha256": "21b520154b572eddc1d5875f984c506fa610996035b5d94b816b4a050037f64e",
"language": "Python",
"lines": 128,
"truncated": false,
"block": 15,
"row": 16344
},
{
"path": "examples/primate_reaching/Primate_Reaching_tutorial.ipynb",
"sha256": "3ba36f177d5e5d76d7f590a33d7e6268089e39dabc6604f08b860b69200ed3b4",
"language": "Jupyter",
"lines": 146,
"truncated": false,
"block": 14,
"row": 15769
},
{
"path": "examples/primate_reaching/SNN2.py",
"sha256": "65fe6007205bd4e2d62daae537a34171c519a761078b8da35e4300163c796c50",
"language": "Python",
"lines": 56,
"truncated": false,
"block": 15,
"row": 10570
},
{
"path": "examples/primate_reaching/SNN_3.py",
"sha256": "3a14b88b4859b6a23a03f6b542898d8d3bd99dc4e8811b14d14026cde07c7a35",
"language": "Python",
"lines": 96,
"truncated": false,
"block": 15,
"row": 14815
},
{
"path": "examples/primate_reaching/benchmark_2d_ann.py",
"sha256": "b92b84d2ff3a4582ff10d13199e66708fd5fe6913d4907712f4020871ea778fb",
"language": "Python",
"lines": 85,
"truncated": false,
"block": 15,
"row": 14629
},
{
"path": "examples/primate_reaching/benchmark_3d_ann.py",
"sha256": "bd4d173a10a3290225269b178cc06a1ed04dd45dd74db82e63bdb47e955eab10",
"language": "Python",
"lines": 85,
"truncated": false,
"block": 15,
"row": 14783
},
{
"path": "examples/primate_reaching/benchmark_SNN2.py",
"sha256": "dcb8ee3992e936edbec5e217ad935b39d74c606ce4d535f12ba1511a1ff29738",
"language": "Python",
"lines": 87,
"truncated": false,
"block": 15,
"row": 14781
},
{
"path": "examples/primate_reaching/benchmark_snn_3.py",
"sha256": "4cf63ee0dabdeae1b889aaacdb9410538ce4bec14fc45e77852f7ccfe94726ea",
"language": "Python",
"lines": 90,
"truncated": false,
"block": 15,
"row": 15158
},
{
"path": "neurobench/__init__.py",
"sha256": "2736ff45f82f5c2ae6fd243801f786562d4ddfa6326f19cce66a72c6b9e28602",
"language": "Python",
"lines": 1,
"truncated": false,
"block": 6,
"row": 20254
},
{
"path": "neurobench/benchmarks/__init__.py",
"sha256": "f102137728762837e123951262ea2ef1c5ee171cc3f3d95fa839019c1720fc7f",
"language": "Python",
"lines": 3,
"truncated": false,
"block": 15,
"row": 5634
},
{
"path": "neurobench/benchmarks/benchmark.py",
"sha256": "87ccc85e8a7e15ce69cf61b1d05579cfb1761e062a670b1808121853166b41b8",
"language": "Python",
"lines": 280,
"truncated": false,
"block": 15,
"row": 22245
},
{
"path": "neurobench/blocks/activation.py",
"sha256": "623def2802beb37c3a52dc86d949c2e1bbfdbedc7a3d5be0647ee19b37d663c3",
"language": "Python",
"lines": 6,
"truncated": false,
"block": 15,
"row": 5725
},
{
"path": "neurobench/blocks/layer.py",
"sha256": "23a723833f666b268faa0b74679c82ff07ef5b9773339970dc1b8e58e71aed39",
"language": "Python",
"lines": 15,
"truncated": false,
"block": 15,
"row": 6205
},
{
"path": "neurobench/datasets/EEG.py",
"sha256": "64e94cbc0fcbf9604d7df79978319a7c939f53890d09acc844bb199d7361d744",
"language": "Python",
"lines": 191,
"truncated": false,
"block": 15,
"row": 18855
},
{
"path": "neurobench/datasets/MSWC_IncrementalLoader.py",
"sha256": "bf767dc9c743ad13a420adabac9468a1b07b63bf09396fca8e272e9c8ba69211",
"language": "Python",
"lines": 159,
"truncated": false,
"block": 15,
"row": 17943
},
{
"path": "neurobench/datasets/MSWC_dataset.py",
"sha256": "3c1cbbf1207099f8ab0c2ebb5609df84602eb2a2f07e5226246ab324127ca2bd",
"language": "Python",
"lines": 433,
"truncated": false,
"block": 15,
"row": 22501
},
{
"path": "neurobench/datasets/WISDM.py",
"sha256": "5dbbc622542562765a825b4247b8793364749e2f036ae95002246b6c4d71c00a",
"language": "Python",
"lines": 117,
"truncated": false,
"block": 15,
"row": 14937
},
{
"path": "neurobench/datasets/__init__.py",
"sha256": "22dedc9309b90da703ac790b35d1eed0d3dada79885519b8c93361dc52315eba",
"language": "Python",
"lines": 39,
"truncated": false,
"block": 15,
"row": 8411
},
{
"path": "neurobench/datasets/dataset.py",
"sha256": "e14394943e85b4cd4e18906054877e799edc50e00f73ee4703e840b0bcadec57",
"language": "Python",
"lines": 26,
"truncated": false,
"block": 15,
"row": 7187
},
{
"path": "neurobench/datasets/mackey_glass.py",
"sha256": "815e18d0d9523364e1e40dc9ba3b5cc47ddb54c4ff2cd9efe415c4b237e996d4",
"language": "Python",
"lines": 249,
"truncated": false,
"block": 15,
"row": 21211
},
{
"path": "neurobench/datasets/megapixel_automotive.py",
"sha256": "0c451b9bfea3e3c3c5f849292889d1ea7e67526920068d19a6ad8e9bb2b9b674",
"language": "Python",
"lines": 178,
"truncated": false,
"block": 15,
"row": 18933
},
{
"path": "neurobench/datasets/primate_reaching.py",
"sha256": "185687c69a7ddca2c6aa95217dbc4b5090e3f2e14446d363e4c1f2e979ca1b51",
"language": "Python",
"lines": 354,
"truncated": false,
"block": 15,
"row": 23641
},
{
"path": "neurobench/datasets/speech_commands.py",
"sha256": "35e0e7d5c0c141a37f830aad7c4bcd5b4d58343ab1b696be9f6fe2a4051f707a",
"language": "Python",
"lines": 96,
"truncated": false,
"block": 15,
"row": 12545
},
{
"path": "neurobench/datasets/utils.py",
"sha256": "7c094603efc45419685be6531758779a9c2fcd0bafd7ec6c859a9d7bbbc1fb1f",
"language": "Python",
"lines": 161,
"truncated": false,
"block": 15,
"row": 17662
},
{
"path": "neurobench/hooks/layer.py",
"sha256": "32b2d05eebfc78f730c1f93e5a15e0969088381b33723160b6c7eabfe195d5ef",
"language": "Python",
"lines": 24,
"truncated": false,
"block": 15,
"row": 7062
},
{
"path": "neurobench/hooks/neuron.py",
"sha256": "075b870934b2153941eb665f5df434ddc6ca161220603fc956a0556cc880bbff",
"language": "Python",
"lines": 102,
"truncated": false,
"block": 15,
"row": 13426
},
{
"path": "neurobench/metrics/abstract/__init__.py",
"sha256": "203d45ad2f9396a6e121633b117a84a9295a868728b4ebb769801ec6a20641cb",
"language": "Python",
"lines": 4,
"truncated": false,
"block": 15,
"row": 5984
},
{
"path": "neurobench/metrics/abstract/static_metric.py",
"sha256": "c6204ba7456f79ef8532096a508220fecb608389eb2dd1b4a343cf9e1d6bbe14",
"language": "Python",
"lines": 39,
"truncated": false,
"block": 15,
"row": 9278
},
{
"path": "neurobench/metrics/abstract/workload_metric.py",
"sha256": "c9133db8ef094308d3dd3a7af949800e73d29a013751a132e3a5aba0da21bd75",
"language": "Python",
"lines": 107,
"truncated": false,
"block": 15,
"row": 13512
},
{
"path": "neurobench/metrics/manager/static_manager.py",
"sha256": "6f2734ecafb5a87e28b8e649b911a0b81fd0fb0902063ac2963184852a52f4d6",
"language": "Python",
"lines": 74,
"truncated": false,
"block": 15,
"row": 13529
},
{
"path": "neurobench/metrics/manager/workload_manager.py",
"sha256": "572032577b5c4b18108452456de2270e64af7f1ffe2f1ec46c9963622e7645cf",
"language": "Python",
"lines": 155,
"truncated": false,
"block": 15,
"row": 17731
},
{
"path": "neurobench/metrics/static/__init__.py",
"sha256": "74037b28ba5feb2aea1df8c1014f47de5676866cc25bb8ae8be16f80d3e5e6e7",
"language": "Python",
"lines": 5,
"truncated": false,
"block": 15,
"row": 6049
},
{
"path": "neurobench/metrics/static/connection_sparsity.py",
"sha256": "7084149c5680df763b5d449fb788b5bdd49ece469d11692cfbda6440c2372129",
"language": "Python",
"lines": 116,
"truncated": false,
"block": 15,
"row": 15838
},
{
"path": "neurobench/metrics/static/footprint.py",
"sha256": "86ba5c7ef73dc63885beee21f212b7b3119557a078a840363a12558809b873b6",
"language": "Python",
"lines": 25,
"truncated": false,
"block": 15,
"row": 7411
},
{
"path": "neurobench/metrics/static/parameter_count.py",
"sha256": "24480f62cbe9641ad25b6430760ceeec1d99125edea477b190bd60a58d17ae84",
"language": "Python",
"lines": 17,
"truncated": false,
"block": 15,
"row": 6749
},
{
"path": "neurobench/metrics/utils/decorators/__init__.py",
"sha256": "bfd5809f0d4d54f9aefab688a462593d7238596cc75ab64bc8a90d82f3fdd164",
"language": "Python",
"lines": 3,
"truncated": false,
"block": 15,
"row": 5661
},
{
"path": "neurobench/metrics/utils/decorators/check_shape.py",
"sha256": "14059378b08ba1422610780d023dde31c4786b03e84bcb6a461bc95dde34831c",
"language": "Python",
"lines": 20,
"truncated": false,
"block": 15,
"row": 7449
},
{
"path": "neurobench/metrics/utils/layers/__init__.py",
"sha256": "b36a3fb4655132ba3dfc5f33c11c242f94373cef476193970c4a92066a4e7309",
"language": "Python",
"lines": 3,
"truncated": false,
"block": 15,
"row": 5672
},
{
"path": "neurobench/metrics/utils/layers/binary_copy.py",
"sha256": "abe646099fb39cd8021f164573c11627538c29cb4d66f053850871aaac85f74c",
"language": "Python",
"lines": 56,
"truncated": false,
"block": 15,
"row": 9945
},
{
"path": "neurobench/metrics/utils/layers/input.py",
"sha256": "cb0f0e6be296516346adf4439d48bb4398af4817146094361d1eb6fafd4e6e38",
"language": "Python",
"lines": 60,
"truncated": false,
"block": 15,
"row": 10865
},
{
"path": "neurobench/metrics/utils/layers/macs.py",
"sha256": "78abe65b9e3c24a8ef9e9cfb8c26621955b3475f7d939ba45299ea2da0d0b14d",
"language": "Python",
"lines": 198,
"truncated": false,
"block": 15,
"row": 19388
},
{
"path": "neurobench/metrics/utils/utils.py",
"sha256": "4f864b18994635b39768ced62bb54998f81d03faa4a19f8b36dc6d012578e6d9",
"language": "Python",
"lines": 15,
"truncated": false,
"block": 15,
"row": 6754
},
{
"path": "neurobench/metrics/workload/__init__.py",
"sha256": "ce635d17d8f416fad27a240c3e6687a2406986ab4e2fbe69a87b80dcde38f123",
"language": "Python",
"lines": 28,
"truncated": false,
"block": 15,
"row": 7476
},
{
"path": "neurobench/metrics/workload/activation_sparsity.py",
"sha256": "51732220b8c5be1b85b7f6ccc82d9bba375acb19cefc424c698e14f644df8658",
"language": "Python",
"lines": 55,
"truncated": false,
"block": 15,
"row": 10335
},
{
"path": "neurobench/metrics/workload/activation_sparsity_by_layer.py",
"sha256": "aac9a3000af041fb37a9af8f89790a574c5462a9f7148a1c595a3268719dc55e",
"language": "Python",
"lines": 64,
"truncated": false,
"block": 15,
"row": 11061
},
{
"path": "neurobench/metrics/workload/classification_accuracy.py",
"sha256": "55ed6383069ed39372b9a6fe6e81571b435bd24e5147e4f289bcf82074f9be9b",
"language": "Python",
"lines": 30,
"truncated": false,
"block": 15,
"row": 7846
},
{
"path": "neurobench/metrics/workload/coco_map.py",
"sha256": "ce0705beb6674b10427b241f6818eddac5c39e029a090bb6280dab19dd9100f5",
"language": "Python",
"lines": 146,
"truncated": false,
"block": 15,
"row": 16817
},
{
"path": "neurobench/metrics/workload/membrane_updates.py",
"sha256": "7ba022cde91e777a7f3f50f70899c698f5f325f9de89818e4507aa888ff88f58",
"language": "Python",
"lines": 75,
"truncated": false,
"block": 15,
"row": 12282
},
{
"path": "neurobench/metrics/workload/mse.py",
"sha256": "2df54b68242d3c98a058053825475331fa9863fd37217bf4b5e80d2e4a75746b",
"language": "Python",
"lines": 30,
"truncated": false,
"block": 15,
"row": 7681
},
{
"path": "neurobench/metrics/workload/neuron_operations.py",
"sha256": "6c1ad603df93363d08eed2ead74133a1c96f713118abae82249fa7d8e95366d9",
"language": "Python",
"lines": 141,
"truncated": false,
"block": 15,
"row": 16844
},
{
"path": "neurobench/metrics/workload/r2.py",
"sha256": "e39571b6f713c04ced50bb6788d98346d57d8d54cfb36cdf08fc3cc526a0d2b1",
"language": "Python",
"lines": 68,
"truncated": false,
"block": 15,
"row": 10646
},
{
"path": "neurobench/metrics/workload/smape.py",
"sha256": "4748324da08a5e69e3b72ce6e580b2048d2eb899e5cded19d6e9fa50d5be4fbf",
"language": "Python",
"lines": 33,
"truncated": false,
"block": 15,
"row": 8186
},
{
"path": "neurobench/metrics/workload/synaptic_operations.py",
"sha256": "6813195ba2a68747eabc2fa6c65cd843bc592913c44ed54d82980ceecb812543",
"language": "Python",
"lines": 95,
"truncated": false,
"block": 15,
"row": 13657
},
{
"path": "neurobench/models/__init__.py",
"sha256": "b2006bc94292f1c68ef80db5a41bd4cbd39df1189d50286e1592463050854a1a",
"language": "Python",
"lines": 6,
"truncated": false,
"block": 15,
"row": 6117
},
{
"path": "neurobench/models/neurobench_model.py",
"sha256": "c9a0ad48f8c7b16739b806da5b8d43c27c5474bf8d689b11870ca086c2355aa6",
"language": "Python",
"lines": 143,
"truncated": false,
"block": 15,
"row": 16206
},
{
"path": "neurobench/models/snntorch_models.py",
"sha256": "1845e12ab86add60eb0257c32dcf94362c93ecabbe5fb0642016e392ac1478d2",
"language": "Python",
"lines": 59,
"truncated": false,
"block": 15,
"row": 10358
},
{
"path": "neurobench/models/torch_model.py",
"sha256": "3fd60d9a3e45964f5127a39d4b384942ef07e49eb19d3fb1a789b8ca56907cc4",
"language": "Python",
"lines": 36,
"truncated": false,
"block": 15,
"row": 7781
},
{
"path": "neurobench/processors/abstract/__init__.py",
"sha256": "caf3519081f9bc166729095c4e867bed40817cdd44fc26bdd0d78941da0cdc02",
"language": "Python",
"lines": 4,
"truncated": false,
"block": 15,
"row": 5973
},
{
"path": "neurobench/processors/abstract/postprocessor.py",
"sha256": "03426e78d53030a73a2fd8abb54d79dc79eca7d7cc077ab4f1327904505e6b9e",
"language": "Python",
"lines": 27,
"truncated": false,
"block": 15,
"row": 7789
},
{
"path": "neurobench/processors/abstract/preprocessor.py",
"sha256": "1f20a2fb2f0cd7555a632fbe88ead4752e6031cafc96941efb694a422daa186e",
"language": "Python",
"lines": 35,
"truncated": false,
"block": 15,
"row": 8316
},
{
"path": "neurobench/processors/manager/__init__.py",
"sha256": "f0dd5c53c73b15528b27f2b3ffebadb8211b4eae2e011e5463dced5174077f0d",
"language": "Python",
"lines": 3,
"truncated": false,
"block": 15,
"row": 5705
},
{
"path": "neurobench/processors/manager/proc_manager.py",
"sha256": "3cdb14e9aad6e61c3a829ca6b13ac779f77ba68ec00b4fd9a604aa846594c0af",
"language": "Python",
"lines": 153,
"truncated": false,
"block": 15,
"row": 17091
},
{
"path": "neurobench/processors/postprocessors/__init__.py",
"sha256": "d892c93c1625e38dd4c8dcc7c8047c4d69ce4a7261a03bc5707ba8872e846893",
"language": "Python",
"lines": 4,
"truncated": false,
"block": 15,
"row": 5844
},
{
"path": "neurobench/processors/postprocessors/aggregate.py",
"sha256": "9b34fddfcabe0b73803e06233d67a95d37e5578ec328e8a72687e631db41ea51",
"language": "Python",
"lines": 18,
"truncated": false,
"block": 15,
"row": 6819
},
{
"path": "neurobench/processors/postprocessors/choose_max_count.py",
"sha256": "367138eee0dc8e5c4fdbc627426753d1a336b6e9c6733dafe5cd9adb462cf21c",
"language": "Python",
"lines": 18,
"truncated": false,
"block": 15,
"row": 7127
},
{
"path": "neurobench/processors/preprocessors/__init__.py",
"sha256": "446d744a7a248fa2b4ac95dd1836cc2819f5360d36a2fa440c7a2325daac8a9d",
"language": "Python",
"lines": 4,
"truncated": false,
"block": 15,
"row": 5878
},
{
"path": "neurobench/processors/preprocessors/mfcc.py",
"sha256": "a66a1343f4aca240e3990f175513969a1b09da7e93dc6971f10537c629a3d906",
"language": "Python",
"lines": 100,
"truncated": false,
"block": 15,
"row": 13430
},
{
"path": "neurobench/processors/preprocessors/speech2spikes.py",
"sha256": "9402331c9a78163de85b2d30bc9c7f85953a12ab448e0c266087a37263295e80",
"language": "Python",
"lines": 166,
"truncated": false,
"block": 15,
"row": 19138
},
{
"path": "neurobench/utils.py",
"sha256": "6d31713576aa678f510366a563546cdda903b13d80294e31191fbd2b747eab4e",
"language": "Python",
"lines": 6,
"truncated": false,
"block": 15,
"row": 6051
},
{
"path": "neurobench/version.py",
"sha256": "0a92bc207fdd09403083db6abfbce6f45c5b0459310a7103d4952245eedc7ed5",
"language": "Python",
"lines": 1,
"truncated": false,
"block": 15,
"row": 5490
},
{
"path": "tests/models/model_list.py",
"sha256": "49cc82db8832c695c4ddcb7b2fbc98dfaaa565cb9ffe10f645265a2be73b8d5f",
"language": "Python",
"lines": 143,
"truncated": false,
"block": 15,
"row": 14302
},
{
"path": "tests/test_accumulators.py",
"sha256": "53d9bf47ed6a05c1b879a4fd0ea35cd57e967f0b254fe12deac1db0bbaa6ad65",
"language": "Python",
"lines": 62,
"truncated": false,
"block": 15,
"row": 11246
},
{
"path": "tests/test_datasets.py",
"sha256": "c0d5614705775acc9c1770f9106dcc7039eaa223787d8ec91fbcf0d6d421e81d",
"language": "Python",
"lines": 185,
"truncated": false,
"block": 15,
"row": 17996
},
{
"path": "tests/test_frameworks.py",
"sha256": "e0658f731060606f3be3c28c8ff4dbd19512c7c588f59e621b70fe8c115b27ba",
"language": "Python",
"lines": 44,
"truncated": false,
"block": 15,
"row": 9641
},
{
"path": "tests/test_metrics.py",
"sha256": "73dc89ed1f4fcc72306aeb57b65da2a799eef7d5c063e2430d375451af9224a9",
"language": "Python",
"lines": 510,
"truncated": false,
"block": 15,
"row": 24295
},
{
"path": "tests/test_preprocessors/test_mfcc.py",
"sha256": "90f274d83515104c30253ecad9b35ce90e49963db9e8c09d1e10cd341cb53373",
"language": "Python",
"lines": 51,
"truncated": false,
"block": 15,
"row": 10189
},
{
"path": "tests/test_preprocessors/test_speech2spikes.py",
"sha256": "f8d9f02c63ee6046c06fefeff92538b577d1388aaed9e0f078c40768b7ac450d",
"language": "Python",
"lines": 74,
"truncated": false,
"block": 15,
"row": 13505
}
]
}