bcijelly/__init__.py,sha256=PN31RMkVrgZ4nb0i-A2DOBaSw289wvGjJyyvkY4c2CM,128
bcijelly/dataset/load_data.py,sha256=Z48pFtNl-WjfSv-5CdDG3IG1tsiHZba7iNW-5w9gaUo,48402
bcijelly/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bcijelly/model/_train_utils.py,sha256=wRAZ5XXNoejLQ49FuP1q6e52Xfg6cydCFkDHPmUboGs,2227
bcijelly/model/presets.py,sha256=OWVfxgXziyvHNo1QLMvCL6V8WAEAHKjOBT6MSrCUMag,6390
bcijelly/model/Cycle_GAN/__init__.py,sha256=JvqQPkTqf57rADmK3X8PBemkeyeYxf94omR8i0e2T7k,299
bcijelly/model/Cycle_GAN/classifier.py,sha256=NUnOXB9R3Hpz5I8OYSdbeHy5EOLkV8KMSneT48lC7IY,22209
bcijelly/model/Cycle_GAN/plot_csv.py,sha256=TyCTje-dhOEBTrHiY8s4KFy7Y2v09SB8-Kkh4d9ayjw,1065
bcijelly/model/Cycle_GAN/regressor.py,sha256=ZzFTxPzfI7bAiciY5ow0kK9346XQbnrHS7tD4OwZBiA,20205
bcijelly/model/Cycle_GAN/shared_utils.py,sha256=1I2zI6DyiyMsQyPnvh7D_RDiBid5HITFuhT7eZ21sQk,19207
bcijelly/model/LSTM/__init__.py,sha256=JvqQPkTqf57rADmK3X8PBemkeyeYxf94omR8i0e2T7k,299
bcijelly/model/LSTM/classifier.py,sha256=4-h6LFeTjfQ8kKVTrgzmqi-0H-J19XJRhXtfLCfefUI,15635
bcijelly/model/LSTM/plot_csv.py,sha256=c97u51S8lJ3savXwAKk2sHn4EiEVTgt7HQ1JWf2yY58,2354
bcijelly/model/LSTM/regressor.py,sha256=VFKLIQNWAZuW0V03AeAMDOHEL7j5Ap1txMGED93or-w,15220
bcijelly/model/LSTM/shared_utils.py,sha256=7Hx54D00crN5o05YAJ5aQRZ2adAASZdJJOmLwibsFT0,12035
bcijelly/model/lfads/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bcijelly/model/lfads/classifier.py,sha256=UwmOikjyZQ5FLowMdE4x6JNi2SsO3Ge30sbpcqhNpaM,16751
bcijelly/model/lfads/regressor.py,sha256=1kXONEGoYjnO75mrxK0E0ya2EHO31F6nOFKrdMr1XNE,15201
bcijelly/model/lfads/shared_utils.py,sha256=pLq1J8ohjH5wxXIpNCjIJL4Zs4dCBRhS4XlStsnv0Ug,12404
bcijelly/model/lfads/lfads_torch/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bcijelly/model/lfads/lfads_torch/callbacks.py,sha256=ZgjUBlv2UcZi-_-p3E_Iz3jeC-hNUJo1PNQUP8sEKVI,9223
bcijelly/model/lfads/lfads_torch/datamodules.py,sha256=3MmyDg1RKnhD6ucC4FOUxoMHNnKiYQUv-5Yjx0_xyFQ,8999
bcijelly/model/lfads/lfads_torch/metrics.py,sha256=WDQxKYrueGcM0V77Xxt8XQjqJZhMmukdwVxGaf8GgEE,2337
bcijelly/model/lfads/lfads_torch/model.py,sha256=HbWznidaOj3JzVt-ghhRfm-kNcz5jH_j9i3wF50KbsY,22696
bcijelly/model/lfads/lfads_torch/run_model.py,sha256=yakBvX6xiyXnHxKgwCs2_7D1ppOHa2f59koAvZUbKZw,4863
bcijelly/model/lfads/lfads_torch/tuples.py,sha256=G-VL3H3LzQNSCLXaUpXv75U2ULDyyUmSTW2MOUJft5Q,470
bcijelly/model/lfads/lfads_torch/utils.py,sha256=-eoN0dY8NoGnWNI1molYSQhJXvQg2wDcDLs1KdL99i0,1958
bcijelly/model/lfads/lfads_torch/utils_autoconfig.py,sha256=nRxl0Y2a2nzmGIIwsJCHnEH-HwuK7de7jM82FY1kpyg,2521
bcijelly/model/lfads/lfads_torch/extensions/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bcijelly/model/lfads/lfads_torch/extensions/nlb.py,sha256=s17XQZDq7GJC8_1zHAF_7BWGoV1qexRYM_HPKH5T-s8,5859
bcijelly/model/lfads/lfads_torch/extensions/tune.py,sha256=JzyrkSvX6COmw4D3mSmVe_stf9x0D-EXwiYpCLyZQps,13370
bcijelly/model/lfads/lfads_torch/modules/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bcijelly/model/lfads/lfads_torch/modules/augmentations.py,sha256=KNJ_kwYXJph-BdJCLVHaVwOYLyxZlyb-TELlwHvoguA,11884
bcijelly/model/lfads/lfads_torch/modules/decoder.py,sha256=GK3a1ZK7Az1w55g89cqxahY3tibJNMDSOC_WywiDyNk,6354
bcijelly/model/lfads/lfads_torch/modules/encoder.py,sha256=Szsc-qvEoG8nJiNpwNkhecQVX_De7MuilENDL3G5TTY,3761
bcijelly/model/lfads/lfads_torch/modules/initializers.py,sha256=UmaOiEWEpJWZ26U-zcbXA1xs1ScZYtcmHf1QY6fVnWg,834
bcijelly/model/lfads/lfads_torch/modules/l2.py,sha256=Yia0ZgXRleJK2Yj-LnvZjupsuysAcHOZ4hHBih6iOlg,1223
bcijelly/model/lfads/lfads_torch/modules/priors.py,sha256=pytDdi0kzlgmXLCqVtmq5W-POiN2e-pfUMbVm-8wwAw,4166
bcijelly/model/lfads/lfads_torch/modules/readin_readout.py,sha256=vUnPxxl-EVp6kLBjiyRkevz_uLTumvQ6UrZwdwv3cUU,3785
bcijelly/model/lfads/lfads_torch/modules/recons.py,sha256=Zfrn9TtoZcrt1BEmRns7B-pBstEDCZUl5IwzJbXiJS8,6254
bcijelly/model/lfads/lfads_torch/modules/recurrent.py,sha256=5NiGTlJU2tMjpAAJ-MBnHpD3DljTaPHOIiWpylnrqT0,2821
bcijelly/model/lfads/lfads_torch/post_run/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
bcijelly/model/lfads/lfads_torch/post_run/analysis.py,sha256=VpslsIiN6nMJTKRP2y8EqnWhT1SeTLYq5VUCHHYDKIk,3997
bcijelly/model/lfads/lfads_torch/post_run/pbt.py,sha256=SlW06MqPZLOAePGnzSVHNbUk4LFlUFy43CY2DaObOuI,2972
bcijelly/model/stabilization/__init__.py,sha256=OqAXyv957oFFj2C5W-oYAljV9DjwG9O8gQVALg_6C8M,31
bcijelly/model/stabilization/classifier.py,sha256=UMNEzwJHi_GjyJhA4eBHQtpthDHffR_AMhK_kIDJuBs,17957
bcijelly/model/stabilization/regressor.py,sha256=UcBuVG62uBYUItBf-a8UOS8BofSgkPahuD7qo_fVQt0,17813
bcijelly/model/stabilization/shared_utils.py,sha256=RFOihWuAx002-FT2OvkbbIAGDae-gjkSyms5hubZjiI,12504
bcijelly/model/stabilization/stabilization_mlp.py,sha256=lRaYtywwDjY-n_gMfjgCgd7o_6wrfpm2TXRVpAiYJOY,25543
bcijelly/model/stabilization/stabilization_mlp_regression.py,sha256=oP6Y4S7kmVUMBj7T8Q1djoAUmUL3nvrgrHIQdjO6Gto,34839
bcijelly/model/transformer/__init__.py,sha256=8XijYAJcWMfCN85_SeN5pbaT__mPN4RAxBGpkSek5X8,41
bcijelly/model/transformer/classifier.py,sha256=gXAvaMp1V2haVC_HTCGDzn1FUYqhTQecaXVtnvObMSQ,16822
bcijelly/model/transformer/plot_csv.py,sha256=226EvHF1gnkI7K6MpB9JysR_nqTAzyF9e6aLZxwoYoA,4144
bcijelly/model/transformer/regressor.py,sha256=vKYc4HYMcfeDxY5UwRlUy7BmBcyxFxnFNN7ws0jzs3I,20051
bcijelly/model/transformer/shared_utils.py,sha256=Ryp9-LPITnCrIEuAOBP5YkOwhuoSmuNX6T6YlJUKTww,10541
bcijelly/utility/__init__.py,sha256=DW1pIAEns7wq6RdGfcVxa8aET5E9IwtAlV8iJ3vFQoQ,52
bcijelly/utility/summary.py,sha256=dCuFOqIoovru7-Fw4ICQh6__z9L3knNCRtnEVdfdO1I,8888
bcijelly-0.1.1.dist-info/licenses/LICENSE,sha256=wX6i-4aERv_N-KmVMQbLovaiCkzLnXSxsOyEbn40JRI,1067
bcijelly-0.1.1.dist-info/METADATA,sha256=tQMAKSd5H5szKby1jc9fxBOvMKS5PzMbbGR3EVlWmd8,1270
bcijelly-0.1.1.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
bcijelly-0.1.1.dist-info/top_level.txt,sha256=uKjPd2Obrtdudyq3THNtHfNOAhI64kXNK3HkyhpI8sQ,9
bcijelly-0.1.1.dist-info/RECORD,,
