symjax/__init__.py,sha256=HrnNutSraEq1ndCGIIDttm3Mp6_Ntrt25jK1J3834dY,542
symjax/base.py,sha256=1UI5h0tZpi1-1iUXmpfJwAXwr8zHIYbHe5caPIbAdcA,16525
symjax/initializers.py,sha256=ZERE9Ow8L7G4SyJCefK-gVcCzf7l98a4YNJJcvkQKNo,6520
symjax/interpolation.py,sha256=ZDWXNtQl02fYdGA3F38-xepsa3HTL939Ljdbebwt-Mo,2698
symjax/layers.py,sha256=TwxjUxECAoVl_iVPDjK1Zus87atLQM0JjlfbUs6NKmw,20272
symjax/losses.py,sha256=02Lo7kqTLoLqbMD-RoidwZhDqvTQrDNsX5i7LB_pLQI,10344
symjax/optimizers.py,sha256=FcXmQ4LNVHy7qpo1Q1IF2Sg7UsbpmwD8UvdYYImDozY,6510
symjax/schedules.py,sha256=tdeREsaMl_IgtFPfqEnaLty95nnHlhFpss2ps4Po0BM,1607
symjax/datasets/FSDKaggle2018.py,sha256=hqtiEkOnXlr3UC7PzMKQoYjSdz_-R9CL6pvZHMURL1w,4522
symjax/datasets/TUTacousticscences2017.py,sha256=nui-yLq-GQmwqhzJBVmx8vVWfydf29On5zidxLNAPyU,8474
symjax/datasets/__init__.py,sha256=KKKylxPDkryL3ktxOJ2SIRqZKbHvlOxW4UdrSW2q-7c,1018
symjax/datasets/audiomnist.py,sha256=QpLv4gGBFFWnqk-JQv7GmTHyHSFzfXJa_bdzWMGaArY,2614
symjax/datasets/base.py,sha256=jbj5l5gDx3oE4eiWCpy5Rcy1nzUDJ4R94N9a9dfKWn0,3721
symjax/datasets/birdvox_70k.py,sha256=IMUvTsPeaYKupPYSjqNlMul2XTRWshNyAinP7WFlsz8,5422
symjax/datasets/birdvox_dcase_20k.py,sha256=74HdCufbtoCcqcSy_rNYcBVWc6HqwVhBR_vL78N29Ks,7005
symjax/datasets/brain_mnist.py,sha256=ZQFSPoqaIe2AuLa0VxfLsVS35aeK3LU7S8V4N0fwUKg,129
symjax/datasets/cars196.py,sha256=hFf4Nu9G00SPne_MMV_nEtWrfRm_D3hwBSUkyguESZo,145
symjax/datasets/cassava.py,sha256=CbfGer_n8MnnKtZDzzYAN6hdqEwSoPtXnqmYCP1CT0U,3442
symjax/datasets/celeb.py,sha256=4xnDnOBU4Ll-9oKIl2I7M9rpcDRc2U6t8HzK-d5utXo,6368
symjax/datasets/cifar10.py,sha256=UQjH6c7C2zWLrksLknm-BpQ2XDAYaKl5vRHtlYyI7FY,3410
symjax/datasets/cifar100.py,sha256=uLNFq9bclQuqTQO4gA3ihdVMTsJVkFMr_GrLJQI8TsA,3700
symjax/datasets/cub200.py,sha256=Y9fRyxv3qTeE2LvamgU25uiCZu89ebbuN2Tjf58DiiA,4341
symjax/datasets/dclde.py,sha256=WPVfnCE5gtaTu6Y_mTt2GhATZ_zxjxRv1Nq9fm0JXGo,3245
symjax/datasets/dsprites.py,sha256=fLziK0GYR8b6EXZ9dh003zbquhJXv6DudNq66UeRdFQ,2473
symjax/datasets/emnist.py,sha256=Ct8uiP2V3G4n9pCXYVxbZ8ke1wIHIMESzuRTIDtMMvA,8849
symjax/datasets/esc.py,sha256=gzMRv-kqS_oqIEWWjn0W5RGbYXjnWLijCUMcKEB5mlA,5558
symjax/datasets/fashionmnist.py,sha256=1YjuaR867HpZydsbYuZH_MvSZP4rFT39IJqzU3oPxgQ,4172
symjax/datasets/freefield1010.py,sha256=Q76yoyaafUKK5VAUdDdC7ogavME70WVLpAeGV-5q3-8,2606
symjax/datasets/gtzan.py,sha256=xfbJEvNKFLn6LUybgrSUPqo8M3vVZABwNxBkFuNcJ1k,3071
symjax/datasets/high_gamma.py,sha256=7o2sKzmB-hPtvepozhOkwepZmQTkkyGeEE6W1j9fJuY,137
symjax/datasets/ibeans.py,sha256=s-QiCXdeTBhcaIN0fb5-6OCpbNl4lohvuTkn15g7PfI,5472
symjax/datasets/imagenet.py,sha256=U_mCeAVYx5zAoBXx2LLffJWRG9HmuTGNEouqgr9Z278,6848
symjax/datasets/irmas.py,sha256=WoSGCso_M9qv8vRbuuwEzPk8PHAsGBTVGEIW3Xtcw9A,4852
symjax/datasets/mini.py,sha256=oXlJTtn0WsAdZXVWLmJ85oxB1jF4OafNsLynp2BRGgM,2944
symjax/datasets/mnist.py,sha256=m4EMlhhjlPKhxMFUXKzqcD0bVIThsT-fU023vfbTgKw,2894
symjax/datasets/picidae.py,sha256=XxDh7g60tWRLGiFkemI1RmWxHNNZ3nB1ZtnbUPZdg3M,3444
symjax/datasets/places365_small.py,sha256=oD-A1zHwduNRiChKA1dCrMfP6xfcRRcTS3zg_kRUTzA,148
symjax/datasets/preprocess.py,sha256=epLRF0LlSS7QAkSz0w-fugECs2_ed4j4ps4r-iq5CBE,2237
symjax/datasets/seizures_neonatal.py,sha256=6DIwfLH2v2ORc_xUmWBwspUH5nc3cuP3hGOvNP8oRsA,3503
symjax/datasets/sonycust.py,sha256=nzqWM6VvO0crk4mlRV3vSV8HOHg9gtX0vsI0YtBH8Pc,6688
symjax/datasets/speech_commands.py,sha256=FhNjGKc8aKXE3hcDNhZGdpR6eV1hA3CiHXtXA7L-HYc,3276
symjax/datasets/stl10.py,sha256=8-KLoHeWr8dCebMJn9-99ijZ4KoXniQWfq-QMEa-OKY,3912
symjax/datasets/svhn.py,sha256=mn7RsUQF6umNA8EA94RSoa2k-aO4Jxk3mMW881JlfBs,3046
symjax/datasets/tinyimagenet.py,sha256=tiUwi8aFyPMjDsjg6SLyXJ9QMo1zx2KcHQ0O2qhSAjo,2592
symjax/datasets/univariate_timeseries.py,sha256=lXRv8IVh81Q2eS1iUNPWZoo3lB_LJdZGtQhUbihfdp4,2531
symjax/datasets/utils.py,sha256=zor9MtUghLKSX4WRUBXVKOi_EFkmPDq3jS393oMQiuY,2130
symjax/datasets/vocalset.py,sha256=7n1hNRWMtmovr5NRg0SgoVXJl1Mr25EV1QsEG56gB1M,3412
symjax/datasets/warblr.py,sha256=a_IDQtRkOeoz_23Uvh3a_ekp3GvkbEctMdKYxBjLTCw,2941
symjax/datasets/wavfile.py,sha256=vQTiXydkBI7vycByoI-hwwrxzdnU7sbP3c41H0R0A2w,12083
symjax/tensor/__init__.py,sha256=O3W7C_4KSDIkWKn7U8pL9hlU24yXnhYjFY7VyVAMNBs,367
symjax/tensor/base.py,sha256=SqDjDA93H26KmCgENnRmTTOFSSgcwwcm54JkSmDYNqQ,21493
symjax/tensor/control_flow.py,sha256=Zb1tV4wpTg6VntiYGSvjZgh9oLqEuZKFDdpALyOIIHM,5595
symjax/tensor/index_ops.py,sha256=-4J1cS5K-tNvvvEJD_qjh41CyoX1H40PQP7wJtuDjUM,233
symjax/tensor/linalg.py,sha256=ZwNHQSUHHfjWR8qxK6T3w81byTIjMh59qpLxM6EbC60,377
symjax/tensor/numpy.py,sha256=zxeuUBcHXFhhgOt238zNBasYROn6YROuqprQaKPm154,2983
symjax/tensor/ops_math.py,sha256=eT1OPQ-c9C7Uh3PKl6oSyfPlPfG-adQDHPhPlTGA68w,7648
symjax/tensor/ops_methods.py,sha256=WnEOVSNmwyFW87zQGZRDDC0GIuodbgPTrAayLavH1Os,2582
symjax/tensor/ops_nn.py,sha256=TnF72huuPgm-GVn2lY-okjHit6vl31Ta5-pTesfxAVQ,17680
symjax/tensor/other.py,sha256=wYKtbpmjimb386a6KYqhv8fyXzbdZZcmHIgRa0QEX74,4410
symjax/tensor/pdfs.py,sha256=xQH-Eohoq_bajwVtT3jhdMWT4Ewx54h5GfXNztZt-Wc,1543
symjax/tensor/random.py,sha256=B7ejlyfbIS5MjsdrWjvlKqLHi_GDSBJ480e5KCtkXks,683
symjax/tensor/signal.py,sha256=GQBnazZvZhbo6BgQfcRthzzyLZysHu03fT_8ccJvli8,22462
symjax/utils/__init__.py,sha256=anwTiF06o91L8z938kMhzC7hbVHjG34r0L60207ASAk,68
symjax/utils/base.py,sha256=wQm8e6tf0jBYfQtKdQSJg17qRQzoe9t-42qjCo-sPHQ,12109
symjax-0.3.dist-info/LICENSE,sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY,35149
symjax-0.3.dist-info/METADATA,sha256=CiFcy1ymBvFQlJi0fqK7zDUWW-tSwxkh-pszH3e6RmE,4531
symjax-0.3.dist-info/WHEEL,sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY,92
symjax-0.3.dist-info/top_level.txt,sha256=sunI29caUfRDXH80z-IB7Mt3B13TuJOFXDi-e5M5AtE,7
symjax-0.3.dist-info/RECORD,,
